CAINN - Weightless Alpha-Beta Neural Network

A. Alarcón-Paredes, A. Arguelles-Cruz
{"title":"CAINN - Weightless Alpha-Beta Neural Network","authors":"A. Alarcón-Paredes, A. Arguelles-Cruz","doi":"10.1109/CERMA.2008.94","DOIUrl":null,"url":null,"abstract":"In this paper, a weightless neural network model is presented, based on the known operations Alpha and Beta. This weightless Alpha-Beta neural network model is called CAINN - Computing Artificial Intelligence Neural Network.The CAINN's pattern learning and recalling algorithms are created given the Generalized Alpha, Sigma-Alpha, and Sigma-Beta operations, based on the ADAM weightless neural network model. Studies of the CAINN performance are shown. These studies report the reliability of the CAINN model.","PeriodicalId":126172,"journal":{"name":"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2008.94","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 this paper, a weightless neural network model is presented, based on the known operations Alpha and Beta. This weightless Alpha-Beta neural network model is called CAINN - Computing Artificial Intelligence Neural Network.The CAINN's pattern learning and recalling algorithms are created given the Generalized Alpha, Sigma-Alpha, and Sigma-Beta operations, based on the ADAM weightless neural network model. Studies of the CAINN performance are shown. These studies report the reliability of the CAINN model.
CAINN -失重α - β神经网络
本文提出了一种基于已知操作Alpha和Beta的无权重神经网络模型。这种失重的Alpha-Beta神经网络模型被称为CAINN——计算人工智能神经网络。基于ADAM失重神经网络模型,给出了广义Alpha、Sigma-Alpha和Sigma-Beta操作,建立了CAINN的模式学习和召回算法。最后给出了对CAINN性能的研究。这些研究报告了CAINN模型的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信