多层前馈神经网络快速学习算法的实现

Implementation of the Fast Learning Algorithm lor Multilayer Feed-Forward Neural Networks

本文评述优化学习率BP(Back Propagation)算法,给出应用研究中几种常用网络结构的优化学习率的计算公式,讨论与算法实现相关的一些问题.模拟实验结果进一步揭示算法的快速性质.

The optimum learning rate BP algorithm is reviewed for addressing problem-involved in numerical experiments and formulas to efficiently implement it when applied to several net architectures most in use. The simulation results further release properties of the algorithm.