{"title":"Generalized maximum-flow solution based on CNN circuit analysis","authors":"M. Sato, M. Tanaka","doi":"10.1109/CNNA.2010.5430325","DOIUrl":null,"url":null,"abstract":"In our previous research, the Maximum-Flow Neural Network (MF-NN) was proposed, and we showed that the MF-NN is possible to solve any maximum-flow problems. However, the MF-NN has problems of convergence of sigmoidal function. In this research, we propose novel MF-NN using piecewise linear function for improving those problems. Moreover, this novel method is possible to considerably reduce a calculation cost.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2010.5430325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In our previous research, the Maximum-Flow Neural Network (MF-NN) was proposed, and we showed that the MF-NN is possible to solve any maximum-flow problems. However, the MF-NN has problems of convergence of sigmoidal function. In this research, we propose novel MF-NN using piecewise linear function for improving those problems. Moreover, this novel method is possible to considerably reduce a calculation cost.