摘要
本文主要研究了人工神经网络中误差反向传播神经网络(BP网络)的算法及学习规则,并针对BP网络算法不具有动态信息处理能力,提出了算法的启发式改进。
This paper mainly studies BP Network Algorithm and learning principles in Artificial Neural Network, and puts forward heuristic improvement against the treatment capacity which can＇t deal with dynamic information.
出处
《安阳师范学院学报》
2008年第5期47-49,共3页
Journal of Anyang Normal University
关键词
BP网络
动量因子
收敛
BP Network
Momentum factor
Convergence
