摘要
基于 Ｂ Ｐ 算法，提出 １ 种用于非线性辨识中的模糊神经网络 Ｆ Ｂ Ｐ，并用 Ｆ Ｂ Ｐ对非线性的随机函数进行了学习。显然 Ｆ Ｂ Ｐ 算法比 Ｂ Ｐ算法跟踪精度高，且学习速度有所提高。
Based on BP neural network, a Fuzzy Back Propagation Neural Network for Nonlinear Identification (FBP)is proposed in this paper. And the efficiency of the FBP has been verified by using simulations of nonlinear random function. Obvious, the precision of the FBP is higher then the BP and the speed of the FBP is faster then the BP.
出处
《西安公路交通大学学报》
CSCD
北大核心
1999年第3期122-124,142,共4页
Journal of Xi'an Highway University
关键词
随机函数
FBP算法
模糊神经网络
random function
algorithm of FBP
fuzzy neural network
