{"title":"Multi-Valued Neuron with a periodic activation function - learning with negative examples","authors":"M. LupeaV., C. Cernazanu-Glavan","doi":"10.1109/SACI.2014.6840067","DOIUrl":null,"url":null,"abstract":"The efficiency of Multi-Value Neuron and Multi-value Neuron with a periodic activation function are well presented in literature. Using these types of neurons, highly non-linear problems can be solved using a single neuron and not a multi-layer Neural Network (NN). On the other hand, using negative example during learning was shown to increase the overall efficiency. This paper brings these concepts together.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2014.6840067","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 efficiency of Multi-Value Neuron and Multi-value Neuron with a periodic activation function are well presented in literature. Using these types of neurons, highly non-linear problems can be solved using a single neuron and not a multi-layer Neural Network (NN). On the other hand, using negative example during learning was shown to increase the overall efficiency. This paper brings these concepts together.