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DISTURBANCE ATTENUATION FOR UNCERTAIN NONLINEAR CASCADED SYSTEMS 认领 引用
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作者 BIWeiping MUXiaowu SUNYuqiang 《Journal of Systems Science & Complexity》 2004年第3期318-324,共7页
In present paper, the disturbance attenuation problem of uncertain nonlinear cascaded systems is studied. Based on the adding one power integrator technique and recursive design, a feedback controller that solves the ... In present paper, the disturbance attenuation problem of uncertain nonlinear cascaded systems is studied. Based on the adding one power integrator technique and recursive design, a feedback controller that solves the disturbance attenuation problem is constructed for uncertain nonlinear cascaded systems with internal stability. 展开更多
关键词 uncertain nonlinear systems disturbance attenuation
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Rule Extraction from Trained Artificial Neural Network Based on Genetic Algorithm 认领 引用
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作者 WANGWen-jian ZHANGLi-xia 《Systems Science and Systems Engineering》 2002年第2期240-245,共6页
This paper discusses how to extract symbolic rules from trained artificial neural network (ANN) in domains involving classification using genetic algorithms (GA). Previous methods based on an exhaustive analysis of ne... This paper discusses how to extract symbolic rules from trained artificial neural network (ANN) in domains involving classification using genetic algorithms (GA). Previous methods based on an exhaustive analysis of network connections and output values have already been demonstrated to be intractable in that the scale-up factor increases with the number of nodes and connections in the network. Some experiments explaining effectiveness of the presented method are given as well. 展开更多
关键词 rule extraction neural network genetic algorithm knowledge discovery in database(KDD) data mining(DM)
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