A New Methodology For Emergent System Identification Using Particle Swarm Optimization (PSO) And The Group Mehtod Data Handling (GMDH)
作者： Mark S. Voss , Xin Feng
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摘要: A new methodology for Emergent System Identification is proposed in this paper. The method applies the self-organizing Group Method of Data Handling (GMDH) functional networks, Particle Swarm Optimization (PSO), and Genetic Programming (GP) that effective identifying complex dynamic systems. focus paper will be on how (PSO) applied within which used as modeling framework.
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