{"title":"Elman和改进的Elman神经网络的动态特性","authors":"Yuan-Chu Cheng, Weimin Qi, W. Cai","doi":"10.1109/ICMLC.2002.1174413","DOIUrl":null,"url":null,"abstract":"The Elman network is a well-known recurrent neural network. In this paper, an overview of the structure of the Elman neural network and its modified form are presented. Both have trainable feed-forward connections. Then, by comparing with the discrete PID control algorithm, their dynamic characteristics are fully discussed using the z transform function. Finally, we conclude that the modified Elman network has better dynamic properties.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"56 4 1","pages":"637-640 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"80","resultStr":"{\"title\":\"Dynamic properties of Elman and modified Elman neural network\",\"authors\":\"Yuan-Chu Cheng, Weimin Qi, W. Cai\",\"doi\":\"10.1109/ICMLC.2002.1174413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Elman network is a well-known recurrent neural network. In this paper, an overview of the structure of the Elman neural network and its modified form are presented. Both have trainable feed-forward connections. Then, by comparing with the discrete PID control algorithm, their dynamic characteristics are fully discussed using the z transform function. Finally, we conclude that the modified Elman network has better dynamic properties.\",\"PeriodicalId\":90702,\"journal\":{\"name\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"volume\":\"56 4 1\",\"pages\":\"637-640 vol.2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"80\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2002.1174413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1174413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic properties of Elman and modified Elman neural network
The Elman network is a well-known recurrent neural network. In this paper, an overview of the structure of the Elman neural network and its modified form are presented. Both have trainable feed-forward connections. Then, by comparing with the discrete PID control algorithm, their dynamic characteristics are fully discussed using the z transform function. Finally, we conclude that the modified Elman network has better dynamic properties.