具有周期激活函数的多值神经元——负例学习

2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2014-05-15 DOI:10.1109/SACI.2014.6840067

M. LupeaV., C. Cernazanu-Glavan

{"title":"具有周期激活函数的多值神经元——负例学习","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":"{\"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}","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

摘要

多值神经元和具有周期激活函数的多值神经元的效率在文献中得到了很好的体现。使用这些类型的神经元，高度非线性问题可以使用单个神经元而不是多层神经网络(NN)来解决。另一方面，在学习过程中使用负面例子可以提高整体效率。本文将这些概念结合在一起。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Multi-Valued Neuron with a periodic activation function - learning with negative examples

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

自引率

0.00%

发文量