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基于遗传程序设计的非线性系统参数辨识
引用本文:侯进军,张建民.基于遗传程序设计的非线性系统参数辨识[J].延安大学学报(自然科学版),1999,18(4):19-23.
作者姓名:侯进军  张建民
作者单位:湖南吉首大学数学与计算机系!416000,延安大学物电系!陕西延安,716000,延安大学物电系!陕西延安,716000
摘    要:遗传程序设计(GP)是一种自适应的与问题无关的进化算法,它克服了遗传算法的容易陷入局部极值的缺陷。本文讨论使用遗传程序设计对非线性系统进行参数辨识的算法,实现及应用,实验证明:该方法具有收敛速度和精度的明显优势。

关 键 词:遗传程序设计  非线性系统  系统辨识

Nonlinear System Identification via the Genetic Progamming
Hou Jinjun,Zhang Jianming,Shao Sifei.Nonlinear System Identification via the Genetic Progamming[J].Journal of Yan'an University(Natural Science Edition),1999,18(4):19-23.
Authors:Hou Jinjun  Zhang Jianming  Shao Sifei
Institution:Hou Jinjun 1) Zhang Jianming 2) Shao Sifei 2)
Abstract:Genetic programming is developmental algorithms of auto adapted and unrelated with the problem, it overcomes the weakness of the genetic algorithms which is easily running into local extremum. In this paper, We have discussed the application that nonlinear system identification via genetic programming. Experiment has proved:This way had obvious advantage in convergence rate and pricision.
Keywords:Genetic programming  nonlinear system  system identification
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