摘要
对前向多层神经网络BP算法的改进方法作了分析 ,提出了一种新的改进方法———权值平衡算法 ,充分发挥各权值对网络训练的作用 .仿真结果表明 ,新算法与基本的BP算法相比明显地提高了网络收敛速度和精度 。
The improved BP algorithm of multilayer neural network is disscused and a new method,weight balance algorithm is proposed to exert all weights′ effect on the process of neural network training .Simulations indicate that it has a superior convergence rate and precision compared to the standard BP algorithm.The neural network structure which fits for this algorithm is also discussed.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2002年第1期139-141,共3页
Acta Electronica Sinica
基金
国家杰出青年科学基金 (No.60 0 2 530 8)
关键词
BP算法
神经网络
权值平衡算法
BP algorithm
neural network
weight balance algorithm
