基于改进学习的BP网络声音特征信号识别

Sound Signal Recognition Based on BP Network With Improved Learning Algorithm

建立了一个三层前向神经网络对四种声音信号进行识别分类,网络采用改进学习的BP算法训练,即在最速下降法训练的基础上,引入了MOBP动量因子和学习率调整。仿真验证结果表明,所设计的BP网络识别分类误差小,识别正确率高。

A three layer feedforward neural network is developed for sound recognition which is made up by four kinds of sound in this paper.Based on the steepest descent method,the BP network is trained by an improved learning algorithm in which momentum factor and learning rate adjustment is adopted.The simulation results indicates that the error in classification small also with high recognition correct in terms of a percentage.