{"title":"Chirality in neural network systems","authors":"H. Yoshida, M. Miura","doi":"10.1109/APCCAS.1994.514514","DOIUrl":null,"url":null,"abstract":"The concept of chirality is introduced artificial neural network field separation methods of enantiomers. The separated chiral network shows a characteristic function in most cases, and the combination of the chiral subunits implements new functions.","PeriodicalId":231368,"journal":{"name":"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS.1994.514514","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
The concept of chirality is introduced artificial neural network field separation methods of enantiomers. The separated chiral network shows a characteristic function in most cases, and the combination of the chiral subunits implements new functions.