{"title":"Complex-Valued Logic for Neural Networks","authors":"Evgeny Kagan, A. Rybalov, R. Yager","doi":"10.1109/ICSEE.2018.8646029","DOIUrl":null,"url":null,"abstract":"In the report, a simple complex-valued logic is derived from the algebraic structure with uninorm and absorbing norm aggregators. Such construction forms a unified framework for probabilistic and complex fuzzy logics and provides a basis for modeling decision-making in complex systems. In particular, the applicability of the obtained logic is illustrated by construction of the modules of neural networks with recursive learning.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEE.2018.8646029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the report, a simple complex-valued logic is derived from the algebraic structure with uninorm and absorbing norm aggregators. Such construction forms a unified framework for probabilistic and complex fuzzy logics and provides a basis for modeling decision-making in complex systems. In particular, the applicability of the obtained logic is illustrated by construction of the modules of neural networks with recursive learning.