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两种倒置过程的神经网络控制设计及比较
引用本文:朱艳伟,张永利,孙秀娟.两种倒置过程的神经网络控制设计及比较[J].西安文理学院学报,2008,11(1):36-39.
作者姓名:朱艳伟  张永利  孙秀娟
作者单位:[1]唐山师范学院数学与信息科学系,河北唐山063000 [2]西安科技大学基础部,陕西西安710054
摘    要:给出了两种神经网络设计方法,通过用这两种方法解决同一个问题,从而说明了BP算法相对于RBF算法比较粗糙,误差也比较大;而RBF算法训练简洁且学习收敛速度快,能够逼近任意非线性函数.

关 键 词:神经网络  BP算法  RBF算法  收敛
文章编号:1008-5564(2008)01-0036-04
收稿时间:2007-10-10
修稿时间:2007年10月10

Design and Comparison of Neural Network Control System in Two Kinds of Inverted Processes
ZHU Yan-Wei,ZHANG Yong-li,SUN Xiu-juan.Design and Comparison of Neural Network Control System in Two Kinds of Inverted Processes[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2008,11(1):36-39.
Authors:ZHU Yan-Wei  ZHANG Yong-li  SUN Xiu-juan
Institution:ZHU Yan-Wei, ZHANG Yong-li, SUN Xiu-juan (1. Dept. of Mathematics and Information science, Tangshan Teacher's college, Tangshan 063000, China; 2. Dept. of Basic Courses, Xi'an University of Science and Technology, Xi'an 710054, China)
Abstract:Two methods of neural network control systems are given. The same problem was solved by using these two methods and two kinds of design methods are compared. The result shows that BP algorithm is rough, has greater errors. RBF algorithm is concise and increases the convergence speed and can be approximate to arbitrary nonlinear function.
Keywords:neural network  BP algorithm  RBF algorithm  convergence
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