自适应斜率输出函数的BP算法

A BP algorithm with Self-adapting Slope Output Function

在分析BP算法学习过程的基础上 ,提出使用自适应斜率函数作为神经元的输出函数 ,以改善BP算法学习过慢的弱点 .随后讨论了这种改进算法和标准BP算法学习性能上的差异 ,并在此基础上初步分析了网络输入值对这种差异的影响 .

On the basis of analyzing the essential of BP algorithm's learning process, the self adapting slope function is used as the output function in neuron. The difference of the learning rate between the new BP algorithm and the standard BP algorithm is discussed. And based on it, how the rate difference is affected by the net inputs is analyzed. The conclusion in practical use is validated.