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The Fuzzy Modeling Algorithm for Complex Systems Based on Stochastic Neural Network
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作者 李波 张世英 李银惠 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2002年第3期46-51,共6页
A fuzzy modeling method for complex systems is studied. The notation of general stochastic neural network (GSNN) is presented and a new modeling method is given based on the combination of the modified Takagi and Suge... A fuzzy modeling method for complex systems is studied. The notation of general stochastic neural network (GSNN) is presented and a new modeling method is given based on the combination of the modified Takagi and Sugeno's (MTS) fuzzy model and one-order GSNN. Using expectation-maximization(EM) algorithm, parameter estimation and model selection procedures are given. It avoids the shortcomings brought by other methods such as BP algorithm, when the number of parameters is large, BP algorithm is still difficult to apply directly without fine tuning and subjective tinkering. Finally, the simulated example demonstrates the effectiveness. 展开更多
关键词 complex system modeling General stochastic neural network MTS fuzzy model Expectation-maximization algorithm
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SOME DEVELOPMENTS IN THE STUDIES OF META-SYNTHESIS SYSTEM APPROACH 被引量:6
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作者 JifaGU Xijin TANGInstitute of Systems Science, Academy of Mathematics and System Sciences Chinese Academy of Sciences, Beijing 100080 P. R. China 《Systems Science and Systems Engineering》 CSCD 2003年第2期171-189,共19页
In the early 1990s, Professor Qian Xuesen (Tsien HsueShen) and his colleagues proposed the Metasynthesis system approach for solving the open complex giant system problems. The method emphasizes the synthesis of colle... In the early 1990s, Professor Qian Xuesen (Tsien HsueShen) and his colleagues proposed the Metasynthesis system approach for solving the open complex giant system problems. The method emphasizes the synthesis of collected information and knowledge of various kinds of experts, and combining quantitative methods with qualitative knowledge. Later it is evolved into Hall of Workshop for Meta-Synthetic Engineering (HWMSE) which emphasizes to make use of breaking advances in information technologies. Then continuous endeavors have been taken to put those ideas into practice. With tremendous advances in networking and distributed computing technologies, past difficulties in implementation are disappearing together with farther understandings of HWMSE and fruitful results achieved in similar or relevant research fields in recent years in China. In this paper some of those development are introduced, together with some parallel research work abroad. 展开更多
关键词 Meta-synthesis approach complex system modeling decision support systems
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《Complex System Modeling and Simulation》 2025年第3期F0003-F0003,共1页
Complex System Modeling and Simulation,an academic journal sponsored by Tsinghua University,published by Tsinghua University Press(TUP)and hosted in IEEE Xplore,is published quarterly.This journal aims at presenting t... Complex System Modeling and Simulation,an academic journal sponsored by Tsinghua University,published by Tsinghua University Press(TUP)and hosted in IEEE Xplore,is published quarterly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in the fields of complex system modeling,simulation,optimization and control.Contributions all over the world are welcome. 展开更多
关键词 complex system modeling ieee xploreis optimization simulation complex system modelingsimulationoptimization control
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