{"title":"Couner-Propagation Neural Networks Optimization Based on Rough Set","authors":"Qing Shao","doi":"10.1109/MVHI.2010.204","DOIUrl":null,"url":null,"abstract":"The Couner-Propagation neural networks is weak in convergent speed, will easily sink into local minimum, and its choices of initial weights and thresholds lack sound basis. So, a new optimal algorithm of neural network based on rough set was proposed. The new approach integrates the advantages of the two algorithms; it has good understandability, simple computation and exact accuracy. Then a new algorithm based rough set was put forward and used to optimize the design of neural network weights and threshold. The results of simulation show: the new algorithm can get over the insufficiency of CP, and compared with CP, greatly improve the convergent accuracy and speed, and get a good measurement result.","PeriodicalId":34860,"journal":{"name":"HumanMachine Communication Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HumanMachine Communication Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MVHI.2010.204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
The Couner-Propagation neural networks is weak in convergent speed, will easily sink into local minimum, and its choices of initial weights and thresholds lack sound basis. So, a new optimal algorithm of neural network based on rough set was proposed. The new approach integrates the advantages of the two algorithms; it has good understandability, simple computation and exact accuracy. Then a new algorithm based rough set was put forward and used to optimize the design of neural network weights and threshold. The results of simulation show: the new algorithm can get over the insufficiency of CP, and compared with CP, greatly improve the convergent accuracy and speed, and get a good measurement result.