摘要
本文将模糊集理论与人工神经网络的研究相结合，提出一种模糊自适应ＢＰ算法，用典型异或问题与规模更大的打印机磁泄漏信息识别问题进行计算机模拟表明，该算法可使ＢＰ算法的收敛速度明显提高。此项工作为神经网络与模糊系统相结合探索了一条新的途径。
A fuzzy adaptive BP algorithm is proposed by means of combining fuzzy set theory with artificial neural network.The speed of convergence and the network performance of this algorithm are better than other known modified BP algorithms.A new way combining neural networks and fuzzy systems is explored by means of this work.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1995年第2期1-6,共6页
Acta Electronica Sinica
关键词
神经网络
前向多层
BP算法
模糊自适应算法
Artificial neural networks,Feed-forward multilayered neural network,BP Algorithm,Fuzzy systems.
