[1]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,(03):70-74.
　LIU Fu-xi,QIAN Su-xiang,CAO Jian.Application of Optimized BP Neural Network Based on Genetic Algorithm in Intelligent Sound Monitoring[J].Journal of Changzhou University(Natural Science Edition),2012,(03):70-74.
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基于遗传算法的BP神经网络在声音智能监控中应用()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
期数:
2012年03期
页码:
70-74
栏目:
出版日期:
2012-06-01

文章信息/Info

Title:
Application of Optimized BP Neural Network Based on Genetic Algorithm in Intelligent Sound Monitoring
作者:
刘付喜1; 2; 钱苏翔1; 2; 曹 坚2
1.常州大学 机械工程学院,江苏 常州 213016; 2.嘉兴学院 机电工程学院,浙江 嘉兴 314033
Author(s):
LIU Fu-xi1; 2; QIAN Su-xiang1; 2; CAO Jian2
1.School of Mechanical Engineering,Changzhou University,Changzhou 213016,China; 2.School of Electromechanical Engineering,Jiaxing University,Jiaxing 314001, China
关键词:
智能监控;  遗传算法;  BP神经网络;  信号处理
Keywords:
intelligent monitoring;  genetic algorithm;  BP neural network;  signal processing
分类号:
TP 277
文献标志码:
A
摘要:
针对标准的BP神经网络对于声音信号在线监控模型的预测误差比较大,提出了一种用遗传算法优化BP神经网络的算法,建立了声音监控的预测模型。遗传算法优化BP神经网络主要是用遗传算法来优化BP神经网络的初始权值和阀值,然后通过训练BP神经网络以得到预测模型的最优解,优化后的神经网络具有预测误差比较小、反应速度快等特点。实验结果证明,利用遗传算法优化BP神经网络在声音的智能监控中取得了比较好的效果,达到了系统设计的目的。
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, anda sound monitoring prediction model is established. BP neural network optimizedby genetic algorithm mainly uses the genetic algorithm to optimize BP neural network's initial weights and threshold value, the optimal solution of predictionmodel 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.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目:浙江省科技厅公益性项目资助(2011C31045) 作者简介:刘付喜(1982-),男,安徽马鞍山人,硕士生; 通讯联系人:钱苏翔。
更新日期/Last Update: 2012-06-30