{"title":"Prediction of dynamical phenomena by a neural network","authors":"I. Grabec","doi":"10.1109/MELCON.1991.161770","DOIUrl":null,"url":null,"abstract":"An adaptive information processing system capable of predicting dynamical phenomena is described. It includes a neural network-like memory, a predictor, two shift registers, and a comparator. In the memory, an internal empirical model of observed phenomena is formed. It is described by a set of memorized prototype transitions between successive states of an input time-dependent signal which can also be chaotic. System operation is demonstrated on a chaotic signal generated by the Henon map.<<ETX>>","PeriodicalId":193917,"journal":{"name":"[1991 Proceedings] 6th Mediterranean Electrotechnical Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991 Proceedings] 6th Mediterranean Electrotechnical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.1991.161770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
An adaptive information processing system capable of predicting dynamical phenomena is described. It includes a neural network-like memory, a predictor, two shift registers, and a comparator. In the memory, an internal empirical model of observed phenomena is formed. It is described by a set of memorized prototype transitions between successive states of an input time-dependent signal which can also be chaotic. System operation is demonstrated on a chaotic signal generated by the Henon map.<>