常州大学学报（自然科学版）2012，Vol.24Issue(3)：70-74,5.
基于遗传算法的BP神经网络在声音智能监控中应用
Application of Optimized BP Neural Network Based on Genetic Algorithm in Intelligent Sound Monitoring
摘要
Abstract
According to the standard BP neural network for relatively large prediction error in sound signal online monitoring model, a kind of algorithm using genetic algorithm to optimize BP neural network is put forward, and a sound monitoring prediction model is established. BP neural network optimized by genetic algorithm mainly uses the genetic algorithm to optimize BP neural network s initial weights and threshold value, the optimal solution of prediction model is obtained through training BP neural network and the optimized neural network has a relatively small prediction error and a relatively fast speed, etc. The experimental result shows that a better effect is obtained by adopting BP neural network optimized by the genetic algorithm in intelligent sound monitoring, and the aim of the system design is achieved.关键词
智能监控/遗传算法/BP神经网络/信号处理Key words
intelligent monitoring/genetic algorithm/BP neural network/signal processing分类
信息技术与安全科学引用本文复制引用
刘付喜,钱苏翔,曹坚..基于遗传算法的BP神经网络在声音智能监控中应用[J].常州大学学报（自然科学版）,2012,24(3):70-74,5.基金项目
浙江省科技厅公益性项目资助(2011C31045) （2011C31045）
