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Robustness analysis of binary-coupled logistics-supply chain interdependent networks under load redistribution 认领 引用
1
作者 Hai-Bo Yu Yan-Li Gao +3 位作者 Guang-Ming Chen Qiu-Yu Tang Chao Feng Lei Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期886-900,共15页
To capture the interdependencies between logistics and supply chain networks in real-world systems,this paper develops a load redistribution-based logistics-supply chain binary-coupled network(LSBCN)model.Employing a ... To capture the interdependencies between logistics and supply chain networks in real-world systems,this paper develops a load redistribution-based logistics-supply chain binary-coupled network(LSBCN)model.Employing a dynamic load redistribution strategy,we systematically investigate the robustness of the LSBCN under cascading failures.We evaluate network performance under both random and deliberate failures,thoroughly analyze the mechanisms of influence of capacity factor(β)and capacity index(γ)on network robustness,and design three optimization strategies:parameter optimization,critical edge protection,and redundant edge addition.Furthermore,we quantitatively examine the synergistic effects and cost-effectiveness among these strategies.The results reveal that capacity factors exert significant regulatory effects on network robustness;however,the marginal improvement diminishes beyond a critical threshold.Distinct optimal capacity parameter configurations correspond to different failure proportions.Protecting critical edges of the logistics network demonstrates superior robustness enhancement under random failures,whereas adding redundant edges proves more effective under deliberate failures.The synergistic effects between strategies exhibit strong dependence on both failure modes and proportions.Under random failures,critical edge protection should be prioritized,while under deliberate failures,redundant edge addition is preferable.These findings provide theoretical foundations and decision-making references for vulnerability assessment,collaborative optimization,and risk management in logistics-supply chain systems. 展开更多
关键词 binary-coupled logistics–supply chain networks load redistribution cascading failure robustness analysis
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Model construction and topology analysis of logistics equipment system-of-systems heterogeneous network 认领 引用
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作者 YANG Fanghua JIN Cong +2 位作者 ZHAO Zihan LU Yanjing LI Pei 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第2期594-603,共10页
With the improvement of the informatization and intelligence level of logistics equipment,the interactive and collaborative relationships between equipment entities become complex,and the uncertainty problems emerge i... With the improvement of the informatization and intelligence level of logistics equipment,the interactive and collaborative relationships between equipment entities become complex,and the uncertainty problems emerge in the equipment system-of-systems.Herein,a heterogeneous network model is built to describe logistics equipment system-of-systems,which considers the heterogeneity and complex connections of different logistics equipment nodes.Next,the topological structure properties of this model are analyzed.On this basis,the experiments on the logistics equipment system-of-systems under attack strategies including degree attacks,betweenness centrality attacks and random attacks are taken to assess the changes of structural invulnerability.Results show that the logistics equipment system-of-systems heterogeneous network has similar topological structure characteristics of typical complex networks,namely small-world effect and scale-free characteristics,indicating that the flow,sharing,and synchronization between logistics equipment entities in the network are relatively easy.Meantime,the key logistics equipment nodes with large values such as degree,closeness centrality,and betweenness centrality should be protected in the logistics equipment system-ofsystems heterogeneous network against deliberate attacks.The current work provides a perspective for demonstration and affords the theoretical support for development and decisionmaking of logistics equipment system-of-systems. 展开更多
关键词 logistics equipment system-of-systems heterogeneous network topology analysis equipment demonstration
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A Reverse Logistics Network Model for Efficient End-of-Life Vehicle Management in Morocco 认领 引用
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作者 Imane Rouichat Miloudia Slaoui +2 位作者 Houria El Bakraoui Jamal Mabrouki Mohamed El Allaoui 《Journal of Environmental & Earth Sciences》 CAS 2025年第3期341-350,共10页
The Moroccan automotive industry is experiencing steady growth,positioning itself as the largest manufacturer of passenger cars in Africa.This expansion is leading to a significant increase in waste generation,particu... The Moroccan automotive industry is experiencing steady growth,positioning itself as the largest manufacturer of passenger cars in Africa.This expansion is leading to a significant increase in waste generation,particularly from end-of-life vehicles(ELVs),which require proper dismantling and disposal to minimize environmental harm.Millions of tonnes of automotive waste are generated annually,necessitating efficient waste management strategies to mitigate environmental and health risks.ELVs contain hazardous substances such as heavy metals,oils,and plastics,which,if not properly managed,can contaminate soil and water resources.To address this challenge,reverse logistics networks play a crucial role in optimizing the recovery of used components,enhancing recycling efficiency,and ensuring the safe disposal of hazardous and non-recyclable waste.This paper introduces a mathematical programming model designed to minimize the total costs associated with ELVs collection,treatment,and transportation while also accounting for revenues from the resale of repaired,directly reusable,or recycled components.The proposed model determines the optimal locations for processing facilities and establishes efficient material flows within the reverse logistics network.By integrating economic and environmental considerations,this model supports the development of a sustainable and cost-effective automotive waste management system,ultimately contributing to a circular economy approach in the industry. 展开更多
关键词 Supply Chain ELV Reverse Logistics Recycling Network Environmental Impacts Circular Economy
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Research the Safety Specialties for the Container Shipping Logistics Networks of China 认领 引用
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作者 Di Cui 《Journal of Traffic and Transportation Engineering》 2025年第2期62-65,共4页
Structural properties of the ship container logistics network of China(SCLNC)are studied in the light of recent investigations of complex networks.SCLNC is composed of a set of routes and ports located along the sea o... Structural properties of the ship container logistics network of China(SCLNC)are studied in the light of recent investigations of complex networks.SCLNC is composed of a set of routes and ports located along the sea or river.Network properties including the degree distribution,degree correlations,clustering,shortest path length,centrality and betweenness are studied in different definition of network topology.It is found that geographical constraint plays an important role in the network topology of SCLNC.We also study the traffic flow of SCLNC based on the weighted network representation,and demonstrate the weight distribution can be described by power law or exponential function depending on the assumed definition of network topology.Other features related to SCLNC are also investigated. 展开更多
关键词 Logistics networks ship container logistics networks the safety characters
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Spatial Structure of China's E-commerce Express Logistics Network Based on Space of Flows 认领 引用 被引量：7
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作者 LI Yuanjun WU Qitao +2 位作者 ZHANG Yuling HUANG Guangqing ZHANG Hongou 《Chinese Geographical Science》 SCIE CSCD 2023年第1期36-50,共15页
The intermediate link compression characteristics of e-commerce express logistics ne tworks influence the tradition al mode of circulation of goods and economic organization,and alter the city spatial pattern.Based on... The intermediate link compression characteristics of e-commerce express logistics ne tworks influence the tradition al mode of circulation of goods and economic organization,and alter the city spatial pattern.Based on the theory of space of flows,this study adopts China Smart Logistics Network relational data to build China's e-commerce express logistics network and explore its spatial structure characteristics through social network analysis(SNA),the PageRank technique,and geospatial methods.The results are as follows:the network density is 0.9270,which is close to 1;hence,indicating that e-commerce express logistics lines between Chinese cities are nearly complete and they form a typical network structure,thereby eliminating fragmented spaces.Moreover,the average minimum number of edges is 1.1375,which indicates that the network has a small world effect and thus has a high flow efficiency of logistics elements.A significant hierarchical diffusion effect was observed in dominant flows with the highest edge weights.A diamond-structured network was formed with Shanghai,Guangzhou,Chongqing,and Beijing as the four core nodes.Other node cities with a large logistics scale and importance in the network are mainly located in the 19 city agglomerations of China,revealing the fact that the development of city agglomerations is essential for promoting the separation of experience space and changing the urban spatial pattern.This study enriches the theory of urban networks,reveals the flow laws of modern logistics elements,and encourages coordinated development of urban logistics. 展开更多
关键词 space of flows e-commerce express logistics urban logistics network logistics big data
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Discrete logistics network design model under interval hierarchical OD demand based on interval genetic algorithm 认领 引用 被引量：3
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作者 李利华 符卓 +1 位作者 周和平 胡正东 《Journal of Central South University》 SCIE EI CAS 2013年第9期2625-2634,共10页
Aimed at the uncertain characteristics of discrete logistics network design,an interval hierarchical triangular uncertain OD demand model based on interval demand and network flow is presented.Under consideration of t... Aimed at the uncertain characteristics of discrete logistics network design,an interval hierarchical triangular uncertain OD demand model based on interval demand and network flow is presented.Under consideration of the system profit,the uncertain demand of logistics network is measured by interval variables and interval parameters,and an interval planning model of discrete logistics network is established.The risk coefficient and maximum constrained deviation are defined to realize the certain transformation of the model.By integrating interval algorithm and genetic algorithm,an interval hierarchical optimal genetic algorithm is proposed to solve the model.It is shown by a tested example that in the same scenario condition an interval solution[3275.3,3 603.7]can be obtained by the model and algorithm which is obviously better than the single precise optimal solution by stochastic or fuzzy algorithm,so it can be reflected that the model and algorithm have more stronger operability and the solution result has superiority to scenario decision. 展开更多
关键词 uncertainty interval planning hierarchical OD logistics network design genetic algorithm
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Integrated logistics facilities network design for 3PLS under uncertainty 认领 引用 被引量：2
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作者 张永 李建 +1 位作者 李旭宏 毛海军 《Journal of Southeast University(English Edition)》 EI CAS 2006年第4期570-576,共7页
According to the operational characteristics of the logistics networks for the third party logistics supplier （3PLS）, the forward and reverse logistics networks together for 3PLS under the uncertain environment are ... According to the operational characteristics of the logistics networks for the third party logistics supplier （3PLS）, the forward and reverse logistics networks together for 3PLS under the uncertain environment are designed. First, a fuzzy model is proposed by taking multiple customers, multiple commodities, capacitated facility location and integrated logistics facility layout into account. In the model, the fuzzy customer demands and transportation rates are illustrated by triangular fuzzy numbers. Secondly, the fuzzy model is converted into a crisp model by applying fuzzy chance constrained theory and possibility theory, and one hybrid genetic algorithm is designed for the crisp model. Finally, two different examples are designed to illustrate that the model and solution discussed are valid. 展开更多
关键词 third party logistics supplier integrated logistics facilities network design fuzzy chance constrained model hybrid genetic algorithm uncertainty
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Research on Logistics Network Infrastructures Based on DEA-PCA Approach:Evidence from the Yangtze River Delta Region in China 认领 引用 被引量：5
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作者 琚春华 蒋长兵 陈明瑶 《Journal of Shanghai Jiaotong university(Science)》 EI 2012年第1期98-107,共10页
Compared with the extensive research on logistics network infrastructures(LNIs)in the developed world,empirical research is still scarce in China.In this paper the theory of LNIs is firstly overviewed.Then a new evalu... Compared with the extensive research on logistics network infrastructures(LNIs)in the developed world,empirical research is still scarce in China.In this paper the theory of LNIs is firstly overviewed.Then a new evaluation index system for LNIs is set up which contains factors that reflect the economic development level,transportation accessibility and turnover volume of freight traffc.An empirical study is carried out by using data envelopment analysis(DEA)and principal component analysis(PCA)approach to classify LNIs into 4 clusters for 25 cities in the Yangtze River Delta Region of China.According to the characteristics of the 4 clusters,suggestions are proposed for improving their LNIs.Finally,after comparing different LNIs of 25 cities in the Yangtze River Delta Region of China,this paper proposes that different LNIs including hub,central distribution center or cross docking center,regional distribution center or distribution center should be built reasonably in order to meet the customer's requirement in the four different cluster cities. 展开更多
关键词 logistics network infrastructures(LNIs) performance data envelopment analysis(DEA) principal component analysis(PCA)
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Multi-Feature Fusion-Guided Multiscale Bidirectional Attention Networks for Logistics Pallet Segmentation 认领 引用 被引量：1
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作者 Weiwei Cai Yaping Song +2 位作者 Huan Duan Zhenwei Xia Zhanguo Wei 《Computer Modeling in Engineering & Sciences》 SCIE EI 2022年第6期1539-1555,共17页
In the smart logistics industry,unmanned forklifts that intelligently identify logistics pallets can improve work efficiency in warehousing and transportation and are better than traditional manual forklifts driven by... In the smart logistics industry,unmanned forklifts that intelligently identify logistics pallets can improve work efficiency in warehousing and transportation and are better than traditional manual forklifts driven by humans.Therefore,they play a critical role in smart warehousing,and semantics segmentation is an effective method to realize the intelligent identification of logistics pallets.However,most current recognition algorithms are ineffective due to the diverse types of pallets,their complex shapes,frequent blockades in production environments,and changing lighting conditions.This paper proposes a novel multi-feature fusion-guided multiscale bidirectional attention(MFMBA)neural network for logistics pallet segmentation.To better predict the foreground category(the pallet)and the background category(the cargo)of a pallet image,our approach extracts three types of features(grayscale,texture,and Hue,Saturation,Value features)and fuses them.The multiscale architecture deals with the problem that the size and shape of the pallet may appear different in the image in the actual,complex environment,which usually makes feature extraction difficult.Our study proposes a multiscale architecture that can extract additional semantic features.Also,since a traditional attention mechanism only assigns attention rights from a single direction,we designed a bidirectional attention mechanism that assigns cross-attention weights to each feature from two directions,horizontally and vertically,significantly improving segmentation.Finally,comparative experimental results show that the precision of the proposed algorithm is 0.53%–8.77%better than that of other methods we compared. 展开更多
关键词 Logistics pallet segmentation image segmentation multi-feature fusion multiscale network bidirectional attention mechanism HSV neural networks deep learning
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Facility location model for a remanufacturing logistics network 认领 引用 被引量：1
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作者 孙浩 达庆利 《Journal of Southeast University(English Edition)》 EI CAS 2008年第1期99-103,共5页
First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the re... First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the remanufactming products and the new products can be used to meet the demands of customers. Moreover, it is assumed that homogeneous facilities can be designed together into integrated ones, based on which a mixed integer nonlinear programming （MINLP） facility location model of the remanufacturing logistics network with six types of facilities to be sited is built. Then an algorithm based on enumeration for the model is given. The feasible combinations of binary variables are searched by enumeration, and the remaining sub-problems are solved by the LP solver. Finally, the validities of the model and the algorithm are illustrated by means of an example. The result of the sensitivity analysis of parameters indicates that the integration of homogeneous facilities may influence the optimal solution of the problem to a certain degree. 展开更多
关键词 reverse logistics remanufacturing logistics network facility location
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Active Defense Method for Network Hopping Based on Dynamic Random Graph 认领 引用
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作者 Zhu Fang Zhengquan Xu +1 位作者 Weizhen He Bohao Xu 《Computers, Materials & Continua》 SCIE EI 2026年第6期1242-1262,共21页
In view of the problem that the IP address jump law is easy to predict in the current mobile target defense,this paper proposes a network address jump active defense method based on a dynamic random graph,designed to ... In view of the problem that the IP address jump law is easy to predict in the current mobile target defense,this paper proposes a network address jump active defense method based on a dynamic random graph,designed to improve the unpredictability of IP address translation.Firstly,in order to make IP address transformation unpredictable in space and time,a random graph model is designed to generate a pseudo-random sequence of IP address randomization;these pseudo-random can meet the unpredictability of IP address translation in both space and time.Then,based on these pseudo-random sequences and IP address pool,a random map generation algorithm is proposed,which generates highly random IP address sequences through chaotic mapping(Logistic mapping)combined with encryption perturbation technology,meeting the requirements of resisting analysis attacks,while these transformed IP addresses are adapted to network target defense.And finally,this article uses buildMininet to build a cloud network trusted environment,by testing the spatial randomization and temporal randomization of the Random mapping model(CRM),the results show that the CRM model has a good effect on improving the local randomness.The test results of the ablation experiment further show that the CRM model can improve the local randomness while maintaining the global randomness. 展开更多
关键词 Network active defense IP hopping dynamic random graph logistic chaotic sequence RC4 encryption
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SFPBL:Soft Filter Pruning Based on Logistic Growth Differential Equation for Neural Network 认领 引用 被引量：1
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作者 Can Hu Shanqing Zhang +2 位作者 Kewei Tao Gaoming Yang Li Li 《Computers, Materials & Continua》 SCIE EI 2025年第3期4913-4930,共18页
The surge of large-scale models in recent years has led to breakthroughs in numerous fields,but it has also introduced higher computational costs and more complex network architectures.These increasingly large and int... The surge of large-scale models in recent years has led to breakthroughs in numerous fields,but it has also introduced higher computational costs and more complex network architectures.These increasingly large and intricate networks pose challenges for deployment and execution while also exacerbating the issue of network over-parameterization.To address this issue,various network compression techniques have been developed,such as network pruning.A typical pruning algorithm follows a three-step pipeline involving training,pruning,and retraining.Existing methods often directly set the pruned filters to zero during retraining,significantly reducing the parameter space.However,this direct pruning strategy frequently results in irreversible information loss.In the early stages of training,a network still contains much uncertainty,and evaluating filter importance may not be sufficiently rigorous.To manage the pruning process effectively,this paper proposes a flexible neural network pruning algorithm based on the logistic growth differential equation,considering the characteristics of network training.Unlike other pruning algorithms that directly reduce filter weights,this algorithm introduces a three-stage adaptive weight decay strategy inspired by the logistic growth differential equation.It employs a gentle decay rate in the initial training stage,a rapid decay rate during the intermediate stage,and a slower decay rate in the network convergence stage.Additionally,the decay rate is adjusted adaptively based on the filter weights at each stage.By controlling the adaptive decay rate at each stage,the pruning of neural network filters can be effectively managed.In experiments conducted on the CIFAR-10 and ILSVRC-2012 datasets,the pruning of neural networks significantly reduces the floating-point operations while maintaining the same pruning rate.Specifically,when implementing a 30%pruning rate on the ResNet-110 network,the pruned neural network not only decreases floating-point operations by 40.8%but also enhances the classification accuracy by 0.49%compared to the original network. 展开更多
关键词 Filter pruning channel pruning CNN complexity deep neural networks filtering theory logistic model
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Modeling of Robust Design of Remanufacturing Logistics Networks 认领 引用
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作者 夏守长 奚立峰 《Journal of Donghua University(English Edition)》 EI CAS 2005年第1期106-112,共7页
The uncertainty of time, quantity and quality of recycling products leads to the bad stability and flexibility of remanufacturing logistics networks, while general design only covers the minimizing logistics cost, so ... The uncertainty of time, quantity and quality of recycling products leads to the bad stability and flexibility of remanufacturing logistics networks, while general design only covers the minimizing logistics cost, so robust design is presented to solve it. The mathematical model of remanufacturing logistics networks is built on the stochastic distribution of uncontrollable factors, and robust objectives are presented. The basic elements of robust design of remanufacturing logistics are redefined, and each part of mathematical model is explained in detail as well. Robust design of remanufacturing logistics networks is a problem of multi-objective optimization in essence. 展开更多
关键词 Remanufacturing logistics networks Modeling Robust design.
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A satellite cluster observation method for logistics status of industry chain with quantifiable uncertainty 认领 引用 被引量：1
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作者 Xuedong LI Yunfeng DONG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第6期112-129,共18页
Modern warfare is increasingly dependent on logistical support.The improvement in satellite imaging technology and the increase in the number of satellites in orbit have provided a technical foundation for using satel... Modern warfare is increasingly dependent on logistical support.The improvement in satellite imaging technology and the increase in the number of satellites in orbit have provided a technical foundation for using satellite observations in military logistics.Due to uncertainties in the processes of production,transport,and observation,the satellite-based observation and state estimation of military logistics exhibit characteristics of uncertainty.This paper proposes an attribute-based staged method to quantify uncertainty,addressing mixed uncertainties during satellite observations of logistics.First,Bayesian estimation is used to quantify the aleatory uncertainty in the process of single-stage logistics observation.Second,evidence theory is adopted to quantify the epistemic uncertainty caused by conflicts in multi-stage logistics observation results and the lack of understanding of production principles.Through the design of the identification framework and the dynamic optimization of basic reliability,key logistics elements are identified,enabling an accurate estimation of the state of military logistics.Finally,the application case is used to validate the effectiveness and accuracy of the proposed method.Compared to conventional evidence theory,the proposed method can make fuller use of multi-source information and reduce the relative error between the estimated value and the true value to below 0.015%. 展开更多
关键词 Satelliteobservation Logistics network State estimation Situational awareness Uncertainty analysis Information fusion
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青少年非特异性下背痛发病风险预测模型的构建:基于logistic回归和BP神经网络模型 认领 引用
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作者 张帅 赵莉 +2 位作者 汤利军 杨阳 袁凌燕 《广州体育学院学报》 北大核心 2026年第2期62-73,共12页
目的:探索Logistic回归和BP神经网络(BPNN)模型在青少年非特异性下背痛(NLBP)发病风险中的预测效果。方法:于2022年9—11月,采用多阶段整群随机抽样方法选取上海市区1800名在校学生进行问卷调查。采用多因素Logistic回归分析青少年NLBP... 目的:探索Logistic回归和BP神经网络(BPNN)模型在青少年非特异性下背痛(NLBP)发病风险中的预测效果。方法:于2022年9—11月,采用多阶段整群随机抽样方法选取上海市区1800名在校学生进行问卷调查。采用多因素Logistic回归分析青少年NLBP影响因素并构建Logistic回归模型,采用MATLAB R2023b软件构建BPNN。通过准确率、灵敏度、特异度、约登指数及ROC曲线下面积(AUC)评价各模型的预测效果。结果:共有1630名青少年纳入研究,NLBP者406名(流行率为24.91%)。经单因素及多因素分析确定9个变量纳入青少年NLBP发病风险预测模型。训练集显示,Logistic回归模型、BPNN的准确率分别为78.79%、83.26%,灵敏度分别为78.01%、85.18%,特异度分别为79.06%、77.66%,约登指数分别为0.571、0.628,AUC分别为0.761、0.867。测试集显示,Logistic回归模型、BPNN的准确率分别为77.10%、81.80%,灵敏度分别为75.65%、84.22%,特异度分别为77.54%、73.91%,约登指数分别为0.532、0.581,AUC分别为0.758、0.838。结论:与Logistic回归模型相比,BPNN模型的预测效果更好,可以有效预测上海市青少年非特异性下背痛发病风险。 展开更多
关键词 下背痛 青少年体质 Logistic回归分析 BP神经网络模型
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Obtain the optimal of logistics delivery network with annealing algorithm 认领 引用
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作者 Duan Jingmin Chang Yuejun +1 位作者 Li Zanxiang Cui Jianming 《Engineering Sciences》 2013年第6期44-47,共4页
Simulated annealing(SA) algorithm is a heuristic algorithm,proposed one approximation algorithm of solving optimization combinatorial problems inspired by objects in the annealing process of heating crunch. The algori... Simulated annealing(SA) algorithm is a heuristic algorithm,proposed one approximation algorithm of solving optimization combinatorial problems inspired by objects in the annealing process of heating crunch. The algorithm is superior to the traditional greedy algorithm,which avoids falling into local optimum and reaches global optimum. There are often some problems to find the shortest path,etc in the logistics and distribution network, and we need optimization for logistics and distribution path in order to achieve the shortest,best,most economical,and so on. The paper uses an example of SA algorithm validation to verify it,and the method is proved to be feasible. 展开更多
关键词 SA algorithm global optimum logistics and distribution network
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Logistics Network Design for Manufacturing Enterprises with Component Processing Workshops 认领 引用
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作者 DING Yizhong 《Wuhan University Journal of Natural Sciences》 CAS 2010年第6期516-520,共5页
Logistics network design influences the efficiency and cost of Logistics directly.Some manufacturing enterprises not only have warehouse hubs,but also build component processing workshops which are usually located in ... Logistics network design influences the efficiency and cost of Logistics directly.Some manufacturing enterprises not only have warehouse hubs,but also build component processing workshops which are usually located in those places where the costs of materials and workforce are lower.This paper establishes a logistics network design model for the manufacturing enterprises with component processing workshops based on 0-1 mixture integer programming.The model optimizes the logistics network in an integrated view,by which the selection of the nodes,the manufacturing plan,and transportation plan can be obtained.An example is given to verify its feasibility.The approach is helpful for designing of the logistics network in manufacturing enterprises. 展开更多
关键词 manufacturing enterprise logistics network component processing 0-1 mixture integer programming
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Optimized PID neural network closed-loop control for basal ganglia network in Parkinson's disease 认领 引用
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作者 Hengxi Zhang Honghui Zhang +1 位作者 Shuang Liu Lin Du 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第12期193-206,共14页
Conventional open-loop deep brain stimulation(DBS)systems with fixed parameters fail to accommodate interindividual pathological differences in Parkinson's disease(PD)management while potentially inducing adverse ... Conventional open-loop deep brain stimulation(DBS)systems with fixed parameters fail to accommodate interindividual pathological differences in Parkinson's disease(PD)management while potentially inducing adverse effects and causing excessive energy consumption.In this paper,we present an adaptive closed-loop framework integrating a Yogi-optimized proportional–integral–derivative neural network(Yogi-PIDNN)controller.The Yogi-augmented gradient adaptation mechanism accelerates the convergence of general PIDNN controllers in high-dimensional nonlinear control systems while reducing control energy usage.In addition,a system identification method establishes input–output dynamics for pre-training stimulation waveforms,bypassing real-time parameter-tuning constraints and thereby enhancing closed-loop adaptability.Finally,a theoretical analysis based on Lyapunov stability criteria establishes a sufficient condition for closed-loop stability within the identified model.Computational validations demonstrate that our approach restores thalamic relay reliability while reducing energy consumption by(81.0±0.7)%across multi-frequency tests.This study advances adaptive neuromodulation by synergizing data-driven pre-training with stability-guaranteed real-time control,offering a novel framework for energy-efficient and personalized Parkinson's therapy. 展开更多
关键词 Parkinson's disease closed-loop deep brain stimulation PID neural network adaptive control
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基于Group-Lasso-Logistic的网络信贷违约预测研究 认领 引用
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作者 李气芳 周诗妮 《佳木斯大学学报（自然科学版）》 CAS 2026年第1期177-180,共4页
针对网络信贷问题,基于某信贷平台数据构建Group-Lasso-Logistic模型,探讨影响贷款申请人违约的因素,并与全变量Logistic模型、逐步回归Logistic模型、Lasso-Logistic模型进行对比分析。研究发现:Group-Lasso-Logistic模型的评价性能最... 针对网络信贷问题,基于某信贷平台数据构建Group-Lasso-Logistic模型,探讨影响贷款申请人违约的因素,并与全变量Logistic模型、逐步回归Logistic模型、Lasso-Logistic模型进行对比分析。研究发现:Group-Lasso-Logistic模型的评价性能最好,且模型最简洁;贷款金额、贷款利率、分期付款金额以及贷款申请状态对贷款申请人违约风险起正向作用;年收入以及贷款人信用档案中当前的信用总额对贷款申请人违约风险起反向作用;贷款人在登记时所提供的房屋所有权状况为1以及验证状态为1或2这类人更容易发生违约;Group-Lasso-Logistic模型具有稳健性,且不同地区之间存在异质性。 展开更多
关键词 网络信贷 Group-Lasso-Logistic 稳健性 异质性
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Optimization strategy for batch launch deployment of large-scale low earth orbit constellations based on multimodal transportation network model 认领 引用
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作者 Junru LIN Tiantian ZHANG Min HU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期518-538,共21页
Large-scale Low Earth Orbit(LEO)constellations have become a focal point due to their capability to provide round-the-clock high-fidelity information services.However,their efficient and economical batch deployment fa... Large-scale Low Earth Orbit(LEO)constellations have become a focal point due to their capability to provide round-the-clock high-fidelity information services.However,their efficient and economical batch deployment faces severe challenges stemming from growing demands and multiple constraints,with existing methods struggling to effectively address the computational complexity in large-scale scenarios.Addressing this pressing need,this study proposes an innovative deployment optimization framework.Its core lies in constructing a novel partial time-expanded network that significantly reduces(over 90%)redundant links through feasibility pruning and hierarchical aggregation strategies,effectively tackling the exponential growth of constraints inherent in traditional models,and proposing an efficient hybrid algorithm integrating column generation and A*search,which,combined with a subproblem filter,significantly enhances the solution efficiency and scalability for large-scale problems.The framework supports dual-channel,multi-configuration rocket strategies and achieves flexible deployment under multiple mission triggers through weighted optimization.The research demonstrates that the proposed method can effectively reduce deployment costs,improve optimization efficiency,and provide reliable decision support for large-scale constellation deployment. 展开更多
关键词 Column generation Constellation deployment Mixed integer programming:Satellite constellation Space logistics network model
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