{"title":"t-error correcting/d-error detecting (d>t) and all unidirectional error detecting codes with neural network. II","authors":"M. Htay, S. Iyengar, Si-Qing Zheng","doi":"10.1109/ITCC.2002.1000420","DOIUrl":null,"url":null,"abstract":"For pt.I. see ITCC, IEEE proceeding, p. 529-36 (April 2001). In this paper, we develop an algorithm for t-error correcting/d-error detecting and all unidirectional error detecting (t-EC/d-ED/AUED) codes in the framework of neural work. As t-EC/d-ED/AUED codewords are formed by concatenation of information bits and one or more groups of check bits depending on how we want to construct code, we demonstrate neural network algorithms for constructing, detecting and correcting codes. As a continuation of the previous paper, we present an algorithm, code construction, detecting and correcting for 2EC/5ED/AUED code II. We also plan to present for other codes with more examples in near future as well.","PeriodicalId":115190,"journal":{"name":"Proceedings. International Conference on Information Technology: Coding and Computing","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Information Technology: Coding and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2002.1000420","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
For pt.I. see ITCC, IEEE proceeding, p. 529-36 (April 2001). In this paper, we develop an algorithm for t-error correcting/d-error detecting and all unidirectional error detecting (t-EC/d-ED/AUED) codes in the framework of neural work. As t-EC/d-ED/AUED codewords are formed by concatenation of information bits and one or more groups of check bits depending on how we want to construct code, we demonstrate neural network algorithms for constructing, detecting and correcting codes. As a continuation of the previous paper, we present an algorithm, code construction, detecting and correcting for 2EC/5ED/AUED code II. We also plan to present for other codes with more examples in near future as well.