{"title":"用微分代数系统描述的记忆神经网络","authors":"Boshan Chen, Jiejie Chen, Z. Zeng","doi":"10.1109/ICIST.2018.8426153","DOIUrl":null,"url":null,"abstract":"Differential-algebraic neural networks is established by using the current-voltage characteristic of the mem-ristor. The basic problem of this new neural networks are investigated, such as the existence and uniqueness problem and the stability problem. In addition, a numerical example and simulation are given to show the effectiveness of the our results. The approach and results of the paper have a leading significance in the design and study of memristive neural networks and differential-algebraic neural networks.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Memristive Neural Networks Described by Differential-Algebraic Systems\",\"authors\":\"Boshan Chen, Jiejie Chen, Z. Zeng\",\"doi\":\"10.1109/ICIST.2018.8426153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Differential-algebraic neural networks is established by using the current-voltage characteristic of the mem-ristor. The basic problem of this new neural networks are investigated, such as the existence and uniqueness problem and the stability problem. In addition, a numerical example and simulation are given to show the effectiveness of the our results. The approach and results of the paper have a leading significance in the design and study of memristive neural networks and differential-algebraic neural networks.\",\"PeriodicalId\":331555,\"journal\":{\"name\":\"2018 Eighth International Conference on Information Science and Technology (ICIST)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Eighth International Conference on Information Science and Technology (ICIST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIST.2018.8426153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Eighth International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2018.8426153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Memristive Neural Networks Described by Differential-Algebraic Systems
Differential-algebraic neural networks is established by using the current-voltage characteristic of the mem-ristor. The basic problem of this new neural networks are investigated, such as the existence and uniqueness problem and the stability problem. In addition, a numerical example and simulation are given to show the effectiveness of the our results. The approach and results of the paper have a leading significance in the design and study of memristive neural networks and differential-algebraic neural networks.