计算机工程与应用2012，Vol.48Issue(28)：52-56,76,6.DOI:10.3778/j.issn.1002-8331.2012.28.011
基于BtW的和声搜索算法在BP网络优化中的应用
Harmony search algorithm with BtW and application in BP network optimization
摘要
Abstract
Aiming at the problem that the performance of harmony search algorithm is influenced by its parameters while optimizing BP network, an improved harmony search algorithm based on parameters dynamic changes with BtW is proposed and used in BP network optimization, it can improve the convergence rate and accuracy of BP network. According to the characteristics of parameters, nonlinear function transform method decided by BtW is adopted, meanwhile PAR and BW are dynamic adjusted. Then the connection and bias weights of BP network is optimized by the improved harmony search algorithm. The experimental results show that, this method has effectively improved the performance of harmony search algorithm in BP network optimization and has enhanced the training speed and accuracy of BP network.关键词
和声搜索算法/BP神经网络/BtW/网络优化Key words
harmony search algorithm/ BP network/ Best-to-Worst(BtW)/ network optimization分类
信息技术与安全科学引用本文复制引用
王英博,王琳,李扬,李仲学..基于BtW的和声搜索算法在BP网络优化中的应用[J].计算机工程与应用,2012,48(28):52-56,76,6.基金项目
国家“十一五”科技支撑计划重大项目课题(No.2006BAK04A21) （No.2006BAK04A21）
中国煤炭工业科技计划项目基金(No.MTKJ2009-285) （No.MTKJ2009-285）
辽宁省教育厅科学技术研究基金资助项目(No.2004F050). （No.2004F050）
