期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到698篇文章
< 1 2 … 35 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Study on the Splitting Methods for Separable Convex Optimization in a Unified Algorithmic Framework 认领 引用
1
作者 Bingsheng He 《Analysis in Theory and Applications》 CSCD 2020年第3期262-282,共21页
It is well recognized the convenience of converting the linearly constrained convex optimization problems to a monotone variational inequality.Recently,we have proposed a unified algorithmic framework which can guide ... It is well recognized the convenience of converting the linearly constrained convex optimization problems to a monotone variational inequality.Recently,we have proposed a unified algorithmic framework which can guide us to construct the solution methods for solving these monotone variational inequalities.In this work,we revisit two full Jacobian decomposition of the augmented Lagrangian methods for separable convex programming which we have studied a few years ago.In particular,exploiting this framework,we are able to give a very clear and elementary proof of the convergence of these solution methods. 展开更多
关键词 Convex programming augmented Lagrangian method multi-block separable model Jacobian splitting unified algorithmic framework.
Bi-extrapolated subgradient projection algorithm for solving multiple-sets split feasibility problem 认领 引用 被引量：4
2
作者 DANG Ya-zheng GAO Yan 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2014年第3期283-294,共12页
This paper deals with a bi-extrapolated subgradient projection algorithm by intro- ducing two extrapolated factors in the iterative step to solve the multiple-sets split feasibility problem. The strategy is intend to ... This paper deals with a bi-extrapolated subgradient projection algorithm by intro- ducing two extrapolated factors in the iterative step to solve the multiple-sets split feasibility problem. The strategy is intend to improve the convergence. And its convergence is proved un- der some suitable conditions. Numerical results illustrate that the bi-extrapolated subgradient projection algorithm converges more quickly than the existing algorithms. 展开更多
关键词 Multiple-sets split feasibility problem subgradient accelerated iterative algorithm convergence.
暂未订购 下载PDF
New hybrid inertial CQ projection algorithms with line-search process for the split feasibility problem 认领 引用
3
作者 DANG Ya-zheng WANG Long YANG Yao-heng 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2023年第1期144-158,共15页
In this paper, we propose two hybrid inertial CQ projection algorithms with linesearch process for the split feasibility problem. Based on the hybrid CQ projection algorithm, we firstly add the inertial term into the ... In this paper, we propose two hybrid inertial CQ projection algorithms with linesearch process for the split feasibility problem. Based on the hybrid CQ projection algorithm, we firstly add the inertial term into the iteration to accelerate the convergence of the algorithm, and adopt flexible rules for selecting the stepsize and the shrinking projection region, which makes an optimal stepsize available at each iteration. The shrinking projection region is the intersection of three sets, which are the set C and two hyperplanes. Furthermore, we modify the Armijo-type line-search step in the presented algorithm to get a new algorithm.The algorithms are shown to be convergent under certain mild assumptions. Besides, numerical examples are given to show that the proposed algorithms have better performance than the general CQ algorithm. 展开更多
关键词 split feasible problem inertial Armijo-type line-search technique projection algorithm convergence
暂未订购 下载PDF
Comparison of Cloud Type Classification with Split Window Algorithm Based on Different Infrared Band Combinations of Himawari-8 Satellite 认领 引用 被引量：2
4
作者 Babag Purbantoro Jamrud Aminuddin +4 位作者 Naohiro Manago Koichi Toyoshima Nofel Lagrosas Josaphat Tetuko Sri Sumantyo Hiroaki Kuze 《Advances in Remote Sensing》 2018年第3期218-234,共17页
Cloud detection and classification form a basis in weather analysis. Split window algorithm (SWA) is one of the simple and matured algorithms used to detect and classify water and ice clouds in the atmosphere using sa... Cloud detection and classification form a basis in weather analysis. Split window algorithm (SWA) is one of the simple and matured algorithms used to detect and classify water and ice clouds in the atmosphere using satellite data. The recent availability of Himawari-8 data has considerably strengthened the possibility of better cloud classification owing to its enhanced multi-band configuration as well as high temporal resolution. In SWA, cloud classification is attained by considering the spatial distributions of the brightness temperature (BT) and brightness temperature difference (BTD) of thermal infrared bands. In this study, we compare unsupervised classification results of SWA using the band pair of band 13 and 15 (SWA13-15, 10 and 12 μm bands), versus that of band 15 and 16 (SWA15-16, 12 and 13 μm bands) over the Japan area. Different threshold values of BT and BTD are chosen in winter and summer seasons to categorize cloud regions into nine different types. The accuracy of classification is verified by using the cloud-top height information derived from the data of Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). For this purpose, six different paths of the space-borne lidar are selected in both summer and winter seasons, on the condition that the time span of overpass falls within the time ranges between 01:00 and 05:00 UTC, which corresponds to the local time around noon. The result of verification indicates that the classification based on SWA13-15 can detect more cloud types as compared with that based on SWA15-16 in both summer and winter seasons, though the latter combination is useful for delineating cumulonimbus underneath dense cirrus 展开更多
关键词 Cloud Type Detection Himawari-8 Split Window Algorithm Brightness Temperature
暂未订购 下载PDF
Generation and Analysis of Hybrid-Electric Vehicle Transmission Shift Schedules with a Torque Split Algorithm 认领 引用 被引量：1
5
作者 Nicholas J. Connelly Derek I. George +1 位作者 Andrew C. Nix W. Scott Wayne 《Journal of Transportation Technologies》 2020年第1期21-49,共29页
The increased concern over global climate change and lack of long-term sustainability of fossil fuels in the projected future has prompted further research into advanced alternative fuel vehicles to reduce vehicle emi... The increased concern over global climate change and lack of long-term sustainability of fossil fuels in the projected future has prompted further research into advanced alternative fuel vehicles to reduce vehicle emissions and fuel consumption. One of the primary advanced vehicle research areas involves electrification and hybridization of vehicles. As hybrid-electric vehicle technology has advanced, so has the need for more innovative control schemes for hybrid vehicles, including the development and optimization of hybrid powertrain transmission shift schedules. The hybrid shift schedule works in tandem with a cost function-based torque split algorithm that dynamically determines the optimal torque command for the electric motor and engine. The focus of this work is to develop and analyze the benefits and limitations of two different shift schedules for a position-3 (P3) parallel hybrid-electric vehicle. a traditional two-parameter shift schedule that operates as a function of vehicle accelerator position and vehicle speed (state of charge (SOC) independent shift schedule), and a three-parameter shift schedule that also adapts to fluctuations in the state of charge of the high voltage batteries (SOC dependent shift schedule). The shift schedules were generated using an exhaustive search coupled with a fitness function to evaluate all possible vehicle operating points. The generated shift schedules were then tested in the software-in-the-loop (SIL) environment and the vehicle-in-the-loop (VIL) environment and compared to each other, as well as to the stock 8L45 8-speed transmission shift schedule. The results show that both generated shift schedules improved upon the stock transmission shift schedule used in the hybrid powertrain comparing component efficiency, vehicle efficiency, engine fuel economy, and vehicle fuel economy. 展开更多
关键词 Hybrid-Electric Vehicles Torque Split Algorithm Shift Schedule Shift Map Cost Function SOC Dependent
暂未订购 下载PDF
On a New Analysis Framework for the Linear Convergence of Relaxed Operator Splitting Methods 认领 引用
6
作者 Qingjing LI Ke GUO 《Journal of Mathematical Research with Applications》 CSCD 2022年第2期199-205,共7页
In this paper,we propose a new analysis framework to study the linear convergence of relaxed operator splitting methods,which can be viewed as an extension of the classic Krasnosel'skii-Mann iteration and Banach-P... In this paper,we propose a new analysis framework to study the linear convergence of relaxed operator splitting methods,which can be viewed as an extension of the classic Krasnosel'skii-Mann iteration and Banach-Picard contraction.As applications,we derive the linear convergence of the generalized proximal point algorithm and the relaxed forward-backward splitting method in a simple and elegant way. 展开更多
关键词 averaged operator negatively averaged operator relaxed forward-backward splitting method proximal point algorithm
暂未订购 下载PDF
Self-Adaptive Algorithms for the Split Common Fixed Point Problem of the Demimetric Mappings 认领 引用 被引量：1
7
作者 Xinhong Chen Yanlai Song +1 位作者 Jianying He Liping Gong 《Journal of Applied Mathematics and Physics》 2019年第10期2187-2199,共13页
The split common fixed point problem is an inverse problem that consists in finding an element in a fixed point set such that its image under a bounded linear operator belongs to another fixed-point set. In this paper... The split common fixed point problem is an inverse problem that consists in finding an element in a fixed point set such that its image under a bounded linear operator belongs to another fixed-point set. In this paper, we present new iterative algorithms for solving the split common fixed point problem of demimetric mappings in Hilbert spaces. Moreover, our algorithm does not need any prior information of the operator norm. Weak and strong convergence theorems are given under some mild assumptions. The results in this paper are the extension and improvement of the recent results in the literature. 展开更多
关键词 Hilbert Space Demimetric Mapping Split Common Fixed Point Problem Self-Adaptive Algorithm
暂未订购 下载PDF
Splitting of Gaussian Models via Adapted BML Method Pertaining to Cry-Based Diagnostic System 认领 引用
8
作者 Hesam Farsaie Alaie Chakib Tadj 《Engineering（科研）》 2013年第10期277-283,共7页
In this paper,we make use of the boosting method to introduce a new learning algorithm for Gaussian Mixture Models (GMMs) called adapted Boosted Mixture Learning (BML). The method possesses the ability to rectify the ... In this paper,we make use of the boosting method to introduce a new learning algorithm for Gaussian Mixture Models (GMMs) called adapted Boosted Mixture Learning (BML). The method possesses the ability to rectify the existing problems in other conventional techniques for estimating the GMM parameters, due in part to a new mixing-up strategy to increase the number of Gaussian components. The discriminative splitting idea is employed for Gaussian mixture densities followed by learning via the introduced method. Then, the GMM classifier was applied to distinguish between healthy infants and those that present a selected set of medical conditions. Each group includes both full-term and premature infants. Cry-pattern for each pathological condition is created by using the adapted BML method and 13-dimensional Mel-Frequency Cepstral Coefficients (MFCCs) feature vector. The test results demonstrate that the introduced method for training GMMs has a better performance than the traditional method based upon random splitting and EM-based re-estimation as a reference system in multi-pathological classification task. 展开更多
关键词 Adapted Boosted Mixture Learning Gaussian Mixture Model Splitting of Gaussians Expected-Maximization Algorithm Cry Signals
暂未订购 下载PDF
基于区域分裂合并的频散曲线自动拾取方法研究 认领 引用 被引量：1
9
作者 康娜 李妍卿 曹静杰 《地球物理学进展》 CSCD 北大核心 2026年第2期732-743,共12页
面波频散曲线拾取是面波数据处理的重要步骤之一.目前频散曲线拾取主要依靠大量的人工处理,当大量频散曲线需要拾取时非常耗时费力,难以满足现代面波勘探高效处理的需求.随着勘探需求的增加和勘探技术的进步,如何高效、准确地自动拾取... 面波频散曲线拾取是面波数据处理的重要步骤之一.目前频散曲线拾取主要依靠大量的人工处理,当大量频散曲线需要拾取时非常耗时费力,难以满足现代面波勘探高效处理的需求.随着勘探需求的增加和勘探技术的进步,如何高效、准确地自动拾取面波频散曲线成为亟待解决的问题.本文将频散曲线的拾取视为一个图像分割问题,提出采用一种区域分裂合并算法快速、准确地从频散能量图中自动拾取频散曲线.该算法利用频散能量图区域内像素点的灰度值的标准差和平均值建立区域分裂合并的一致性准则,利用一致性准则不断地对其进行分裂与合并,分割出频散能量区域,最后通过跟踪频散能量区域中不同频率的峰值,实现频散曲线自动拾取.为验证该算法的有效性,使用了含软夹层模型和速度递增模型进行全面测试.结果表明,自动拾取的频散曲线与理论频散曲线高度吻合.同时,实际面波数据测试进一步证实了区域分裂合并算法的精确性. 展开更多
关键词 频散曲线 自动拾取 区域分裂合并算法 面波勘探
暂未订购 下载PDF
逆向设计的三波长功率分束解复用器 认领 引用
10
作者 马汉斯 孙樊 +8 位作者 曹翊 童咏东 林振 邝应乐 罗依茜 肖海川 高慧琴 杨静 杨俊波 《物理学报》 SCIE EI CAS CSCD 北大核心 2026年第13期183-191,共9页
传统通信频段资源短缺导致波分复用器无法实现对光谱的有效利用.针对这一挑战,利用逆向设计算法设计了一种超紧凑的三波长功率分束解复用器(three-wavelength power-splitting(de)multiplexer,3W-PSDM).该器件不仅可以同时实现功率分束... 传统通信频段资源短缺导致波分复用器无法实现对光谱的有效利用.针对这一挑战,利用逆向设计算法设计了一种超紧凑的三波长功率分束解复用器(three-wavelength power-splitting(de)multiplexer,3W-PSDM).该器件不仅可以同时实现功率分束和波分解复用的功能,而且工作带宽覆盖1310,1550和2000 nm波长.在1310,1550和2000 nm波长处,对应单通道的仿真插入损耗(insertion loss,IL)分别约为3.7,3.6和3.6 dB,仿真串扰(crosstalk,CT)分别小于–23.2,–23.4和–22.0 dB,3 dB带宽分别约为56,54和893 nm.此外,提出了工作在不同波段的光子晶体带通滤波器,与3W-PSDM对应的输出波导连接,能够进一步减小3 dB带宽.结合对应波长的带通滤波器后,在1310,1550和2000 nm波长处,3W-PSDM的仿真IL分别约为4.0,4.8和4.1 dB,仿真CT分别小于–19.6,–15.1和–26.2 dB,3 dB带宽分别约为2,6和8 nm. 展开更多
关键词 逆向设计算法 三波长功率分束解复用器 光子晶体带通滤波器
暂未订购 下载PDF
同时取送货场景下的电动车辆路径规划算法 认领 引用
11
作者 李晓辉 孙炜桐 +1 位作者 刘小飞 靳引利 《东北大学学报（自然科学版）》 EI CAS CSCD 北大核心 2026年第4期16-23,共8页
针对考虑电量限制的电动车辆在同时取送货场景下的路径规划问题,提出一种改进的文化基因算法.该算法采用基于极坐标的初始化方法生成初始解,引入一种最优分割方法优化解的质量,并设计多种特定的局部搜索算子提升搜索效率.同时,通过扰动... 针对考虑电量限制的电动车辆在同时取送货场景下的路径规划问题,提出一种改进的文化基因算法.该算法采用基于极坐标的初始化方法生成初始解,引入一种最优分割方法优化解的质量,并设计多种特定的局部搜索算子提升搜索效率.同时,通过扰动机制避免陷入局部最优.将所提局部算子集成到其他算法中,在小、中、大规模数据集上进行对比实验,并结合Wilcoxon符号秩检验对不同算法进行性能分析.结果表明,该算法在各项评价指标上均优于对比算法,且提出的局部搜索算子加入后算法性能显著提升,验证了其在求解优质解方面的有效性. 展开更多
关键词 车辆路径规划 同时取送货 电动汽车 文化基因算法 最优分割方法
暂未订购 下载PDF
结合特征分析和V-PSA-LSTM的锂离子电池SOH预估 认领 引用
12
作者 高治军 戴瑞 +1 位作者 宁一 郭喜峰 《电源学报》 CSCD 北大核心 2026年第6期177-188,共12页
针对锂离子电池循环使用中的容量回升现象及其精准预估问题,提出了一种整合特征分析与创新变分金字塔切分注意力长短期记忆V-PSA-LSTM(variational pyramid split attention long short-term memory)网络模型的方法。该方法对锂离子电... 针对锂离子电池循环使用中的容量回升现象及其精准预估问题,提出了一种整合特征分析与创新变分金字塔切分注意力长短期记忆V-PSA-LSTM(variational pyramid split attention long short-term memory)网络模型的方法。该方法对锂离子电池进行特征分析,通过Pearson相关系数筛选出与电池健康状态SOH(state of health)密切相关的健康特征,以揭示电池容量动态恢复等关键特性。提出的创新V-PSA-LSTM网络模型方案,将周期变异激活机制融入金字塔切分注意力PSA(pyramid split attention)算法中优化长短期记忆LSTM(long short-term memory)网络,旨在强化LSTM模型对锂离子电池SOH的演化规律,特别是循环过程中容量起伏变化的精准捕获能力。经验证,V-PSA-LSTM模型在预估锂离子电池SOH时,显著减小了预估误差,均方根误差RMSE(root mean square error)和平均绝对误差MAE(mean absolute error)分别为0.0022和0.0018,展示了在解决电池容量回升问题和其精准预估问题上的优越性能。 展开更多
关键词 锂离子电池 PSA算法 周期变异激活 长短期记忆算法 健康特征提取
暂未订购 下载PDF
基于Landsat-8开封市主城区地表温度反演分析研究 认领 引用
13
作者 王冬梅 《测绘与空间地理信息》 2026年第3期56-59,共4页
以2013年和2020年开封市主城区Landsat-8影像为数据源,基于QUEST算法进行遥感图像决策树分类得到土地覆盖分类图与对应植被覆盖度,计算得到地表比辐射率;结合过境时间接近的Terra/MODIS水汽产品MOD05-L2获取水汽含量计算大气透过率;根... 以2013年和2020年开封市主城区Landsat-8影像为数据源,基于QUEST算法进行遥感图像决策树分类得到土地覆盖分类图与对应植被覆盖度,计算得到地表比辐射率;结合过境时间接近的Terra/MODIS水汽产品MOD05-L2获取水汽含量计算大气透过率;根据研究区域的亮度温度、地表比辐射率和大气透过率,采用劈窗算法反演地表温度,进而分析城市热岛效应。结果表明:水体及植被覆盖区域地表温度较低,建筑地的地表温度相对较高。2020年相对于2013年城市热岛效应有效缓解,为研究区域政府减缓城市热岛效应提供参考数据。 展开更多
关键词 土地覆盖分类 劈窗算法 地表温度反演 热岛效应
暂未订购 下载PDF
考虑需求可拆分的雇佣和众包车辆协同运输路径规划模型 认领 引用 被引量：2
14
作者 周煜丰 吴志彬 +1 位作者 向传凯 徐玖平 《中国管理科学》 CSSCI CSCD 北大核心 2026年第2期133-143,共11页
众包是社会车辆接受偏离自己的路线向其他人递送物品并获得少量补偿的运输模式。当企业雇佣车辆和社会众包车辆共同参与物流配送时,如何协调这两者的运输路线是企业降低运输成本的关键。本文在这一背景下,考虑客户需求被任意拆分的情况... 众包是社会车辆接受偏离自己的路线向其他人递送物品并获得少量补偿的运输模式。当企业雇佣车辆和社会众包车辆共同参与物流配送时,如何协调这两者的运输路线是企业降低运输成本的关键。本文在这一背景下,考虑客户需求被任意拆分的情况,建立了需求可拆分的协同运输路径规划模型。然后,设计关系模型辅助评价的遗传算法求解模型,算法框架包括上下两层,上层采用0-1编码的遗传算法将客户分配给不同类型的车辆,下层针对上层的分配结果采用自然数编码的遗传算法,分别解决雇佣车辆和众包车辆的路径规划子问题。为了加快下层遗传算法的求解效率,利用支持向量机模型学习解对之间的优劣关系辅助下层遗传算法搜索。最后,基于标准算例库设计测试集并进行数值实验,结果表明,所提出的算法具有较好的性能。企业可以采用协同运输模式,同时,优先使用高容量的众包车辆以降低企业运营成本。 展开更多
关键词 车辆路径问题 众包 协同运输 需求可拆分 关系模型 遗传算法
暂未订购 下载PDF
An intelligent task offloading algorithm(iTOA)for UAV edge computing network 认领 引用 被引量：11
15
作者 Jienan Chen Siyu Chen +3 位作者 Siyu Luo Qi Wang Bin Cao Xiaoqian Li 《Digital Communications and Networks》 SCIE EI 2020年第4期433-443,共11页
Unmanned Aerial Vehicle(UAV)has emerged as a promising technology for the support of human activities,such as target tracking,disaster rescue,and surveillance.However,these tasks require a large computation load of im... Unmanned Aerial Vehicle(UAV)has emerged as a promising technology for the support of human activities,such as target tracking,disaster rescue,and surveillance.However,these tasks require a large computation load of image or video processing,which imposes enormous pressure on the UAV computation platform.To solve this issue,in this work,we propose an intelligent Task Offloading Algorithm(iTOA)for UAV edge computing network.Compared with existing methods,iTOA is able to perceive the network’s environment intelligently to decide the offloading action based on deep Monte Calor Tree Search(MCTS),the core algorithm of Alpha Go.MCTS will simulate the offloading decision trajectories to acquire the best decision by maximizing the reward,such as lowest latency or power consumption.To accelerate the search convergence of MCTS,we also proposed a splitting Deep Neural Network(sDNN)to supply the prior probability for MCTS.The sDNN is trained by a self-supervised learning manager.Here,the training data set is obtained from iTOA itself as its own teacher.Compared with game theory and greedy search-based methods,the proposed iTOA improves service latency performance by 33%and 60%,respectively. 展开更多
关键词 Unmanned aerial vehicles(UAVs) Mobile edge computing(MEC) Intelligent task offloading algorithm(iTOA) Monte Carlo tree search(MCTS) Deep reinforcement learning Splitting deep neural network(sDNN)
暂未订购 下载PDF
基于鹦鹉算法和分相电压质量的电动汽车充电策略研究 认领 引用
16
作者 闫福录 杨俊 +4 位作者 贾燕冰 张世亮 魏丽峰 史斌斌 荀之 《太原理工大学学报》 CAS 北大核心 2026年第2期333-346,共14页
【目的】配电网中电动汽车充电桩多为单相负荷,大规模电动汽车随机接入使得配电网分相电压质量等问题凸显。针对电动汽车的大量无序接入问题,提出一种基于鹦鹉优化算法和分相电压质量的双层电动汽车充电引导策略,以配电网分相电压谐波... 【目的】配电网中电动汽车充电桩多为单相负荷,大规模电动汽车随机接入使得配电网分相电压质量等问题凸显。针对电动汽车的大量无序接入问题,提出一种基于鹦鹉优化算法和分相电压质量的双层电动汽车充电引导策略,以配电网分相电压谐波、分相电压偏差和三相电压不平衡建立多目标双层优化模型。【方法】模型内层采用鹦鹉优化算法计算电动汽车各相并网功率,外层构建了基于前推回代法的分相谐波潮流算法,代入内层优化的并网功率,以使电动汽车并网后配电网的分相电压质量最优。【结果】算例结果表明,所提电动汽车充电策略,可以有效改善配电网三相电压不平衡、分相电压偏差以及分相谐波电压问题,实现新能源消纳,提升配电网运行能效。 展开更多
关键词 电压质量 电动汽车 充电策略 鹦鹉优化算法 分相接入
暂未订购 下载PDF
基于改进鲸鱼优化算法的种植业碳排放预测 认领 引用 被引量：1
17
作者 郭静 尚杰 《中国生态农业学报（中英文）》 CAS CSCD 北大核心 2026年第1期45-57,共13页
种植业碳排放是温室气体排放的重要来源之一,对其进行准确预测与有效管理能够减缓气候变化和推动农业可持续发展。传统预测模型难以捕捉种植业碳排放系统中复杂的非线性关系,且模型鲁棒性不足,易引发过拟合。为了优化现有种植业碳排放... 种植业碳排放是温室气体排放的重要来源之一,对其进行准确预测与有效管理能够减缓气候变化和推动农业可持续发展。传统预测模型难以捕捉种植业碳排放系统中复杂的非线性关系,且模型鲁棒性不足,易引发过拟合。为了优化现有种植业碳排放预测方法,本研究以黑龙江省为例,开展种植业碳排放预测研究。首先,采用联合国政府间气候变化专门委员会(IPCC)碳排放系数法,综合考虑农地利用碳排放、稻田CH4排放和农地N2O排放,对2001—2022年黑龙江省种植业碳排放量进行系统测算。在此基础上,构建涵盖社会经济驱动、生产规模效应和技术能耗强度3个维度的长短期记忆网络(LSTM)模型,并引入改进鲸鱼优化算法(IWOA)对LSTM模型的隐藏单元数、学习率、批量大小和训练轮次4个超参数进行优化,以提升模型的预测性能。最后,利用IWOA-LSTM模型预测了基准情景和低碳情景下2023—2027年黑龙江省种植业碳排放。研究结果显示:1)黑龙江省种植业碳排放量呈“先快速增长后波动下降”的趋势,2015年达到峰值(2045.28万t)。主要的碳排放源包括稻田CH4排放、农地N2O排放以及化肥生产和施用导致的碳排放,年平均占比分别为41.42%、38.26%和11.65%。2)与未经优化的LSTM模型相比,IWOA-LSTM模型在预测准确性和稳定性方面均有显著提升,其平均绝对误差为55.82万t,均方根误差为61.74万t,平均绝对百分比误差为2.83%,分别低于LSTM模型的114.41万t、124.72万t和5.78%。3)采用IWOA-LSTM模型,对2023—2027年黑龙江省种植业基准情景和低碳情景碳排放预测的结果显示,通过控制农作物种植面积、提升化肥施用效率以及减少单位面积农机柴油消耗量,能够有效抑制黑龙江省种植业的碳排放增长。 展开更多
关键词 种植业碳排放 长短期记忆网络 鲸鱼优化算法 时间切分交叉验证
暂未订购 下载PDF
Improved Fruit Fly Optimization Algorithm for Solving Lot-Streaming Flow-Shop Scheduling Problem 认领 引用 被引量：2
18
作者 张鹏 王凌 《Journal of Donghua University(English Edition)》 EI CAS 2014年第2期165-170,共6页
An improved fruit fly optimization algorithm( iFOA) is proposed for solving the lot-streaming flow-shop scheduling problem( LSFSP) with equal-size sub-lots. In the proposed iFOA,a solution is encoded as two vectors to... An improved fruit fly optimization algorithm( iFOA) is proposed for solving the lot-streaming flow-shop scheduling problem( LSFSP) with equal-size sub-lots. In the proposed iFOA,a solution is encoded as two vectors to determine the splitting of jobs and the sequence of the sub-lots simultaneously. Based on the encoding scheme,three kinds of neighborhoods are developed for generating new solutions. To well balance the exploitation and exploration,two main search procedures are designed within the evolutionary search framework of the iFOA,including the neighborhood-based search( smell-vision-based search) and the global cooperation-based search. Finally,numerical testing results are provided,and the comparisons demonstrate the effectiveness of the proposed iFOA for solving the LSFSP. 展开更多
关键词 fruit fly optimization algorithm(FOA) lot-streaming flowshop scheduling job splitting neighborhood-based search cooperation-based search
暂未订购 下载PDF
Transfer of Improvement Strategies Between DRS and ADMM:A Unified Classification Framework 认领 引用
19
作者 Shuting Liu 《Communications in Mathematical Research》 CSCD 2026年第2期121-135,共15页
Douglas-Rachford splitting(DRS)and the alternating direction method of multipliers(ADMM)are two fundamental first-order methods for structured convex optimization.Although derived from different viewpoints,ADMM can be... Douglas-Rachford splitting(DRS)and the alternating direction method of multipliers(ADMM)are two fundamental first-order methods for structured convex optimization.Although derived from different viewpoints,ADMM can be interpreted as the application of DRS to the dual problem.Based on this structural equivalence,this paper studies how algorithmic improvement strategies can be transferred between the two methods.We classify transferable strategies into three categories:exact operator-level transfer,parameterdriven transfer,and heuristic transfer.Representative examples including relaxation,metric scaling,adaptive parameter updates,and residual balancing are discussed to illustrate the different levels of transferability.This perspective provides a systematic way to understand the relationship between DRS and ADMM and clarifies how algorithmic ideas developed for one method may inform the design of variants of the other,offering a unified framework that both explains existing variants and guides the design of new ones. 展开更多
关键词 Douglas-Rachford splitting alternating direction method of multipliers monotone operator splitting convex optimization algorithmic equivalence relaxation techniques adaptive step sizes
VISCOSITY APPROXIMATION METHODS FOR THE SPLIT EQUALITY COMMON FIXED POINT PROBLEM OF QUASI-NONEXPANSIVE OPERATORS 认领 引用 被引量：1
20
作者 赵静 王盛楠 《Acta Mathematica Scientia》 SCIE CSCD 2016年第5期1474-1486,共13页
Let H;, H;, H;be real Hilbert spaces, let A : H;→ H;, B : H;→ H;be two bounded linear operators. The split equality common fixed point problem（SECFP） in the infinite-dimensional Hilbert spaces introduced by Moudaf... Let H;, H;, H;be real Hilbert spaces, let A : H;→ H;, B : H;→ H;be two bounded linear operators. The split equality common fixed point problem（SECFP） in the infinite-dimensional Hilbert spaces introduced by Moudafi（Alternating CQ-algorithm for convex feasibility and split fixed-point problems. Journal of Nonlinear and Convex Analysis）is to find x ∈ F（U）, y ∈ F（T） such that Ax = By,（1）where U : H;→ H;and T : H;→ H;are two nonlinear operators with nonempty fixed point sets F（U） = {x ∈ H;: Ux = x} and F（T） = {x ∈ H;: Tx = x}. Note that,by taking B = I and H;= H;in（1）, we recover the split fixed point problem originally introduced in Censor and Segal. Recently, Moudafi introduced alternating CQ-algorithms and simultaneous iterative algorithms with weak convergence for the SECFP（1） of firmly quasi-nonexpansive operators. In this paper, we introduce two viscosity iterative algorithms for the SECFP（1） governed by the general class of quasi-nonexpansive operators. We prove the strong convergence of algorithms. Our results improve and extend previously discussed related problems and algorithms. 展开更多
关键词 split equality common fixed point problems quasi-nonexpansive operator strong convergence viscosity iterative algorithms Hilbert space
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 35 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈