【摘要】 针对非线性系统模型难以建立问题 ,提出了一种新型的辨识方法 ,利用进化规划强大的数据挖掘功能 ,建立系统的语言模糊模型 ,克服传统算法过分依赖假设前提条件的弱点 ,简化了计算 .在对传统进化算法加以改进的基础上 ,分别对单入单出系统和多入单出系统进行仿真 ,结果表明这一方法是非常有效的更多还原

【Abstract】 An approach is presented for identifying a fuzzy model which is composed of fuzzy logic based on linguistic rules for a nonlinear system.It uses Evolutionary programming to dig optimal fuzzy rule bases for model and overcomes the shortcomings of conventional methods that rely on premised conditions very much.While improving conventional methods,we simulated SISO and MISO systems.The result has indicated that the method is very efficient.更多还原