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基于遗传编程的非线性系统研究

Research of Nonlinear System Based on Genetic Programming
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摘要 遗传编程技术是最好的搜索和优化的方法之一,可以用来优化未知动力系统的复杂结构。通过从合适的结构存储库中选取模型参数,把它们组合成一个最优的数学模型。再对辨识过程进行目标化估计,从而产生理想的模型结构。论述了遗传编程的发展状况,并以如何构造无线局域网为例,对基于遗传编程方法的非线性系统辨识做了理论证明。 Genetic programming is one of the best search and optimization methods which can be used to optimize the complex structure of unknown power system.Through selecting the model parameters from the suitable structure repository,and combining them to an optimal mathematical model.Then objectively estimates the identification process to generate the ideal model structure.This article shows the development state of genetic programming.Taking how to construct the wireless LAN as an example,it also does theoretical proof to the nonlinear system identification which based on the genetic programming method.
作者 孙波 李旭晨
出处 《河南机电高等专科学校学报》 CAS 2011年第3期18-20,共3页 Journal of Henan Mechanical and Electrical Engineering College
关键词 遗传编程 非线性系统 无线局域网 genetic programming nonlinear system wireless LAN
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