W. Sun, Liyan Zhang, Huigang Xu, S. Dou, Changxiang Li
{"title":"基于相空间重构的BP神经网络时延预测方法","authors":"W. Sun, Liyan Zhang, Huigang Xu, S. Dou, Changxiang Li","doi":"10.1117/12.2682466","DOIUrl":null,"url":null,"abstract":"In this paper, a neural network time delay prediction method based on phase space reconstruction is presented. This method reconstructs one-dimensional chaotic time series in phase space according to the internal law through phase space reconstruction, and uses BP neural network algorithm to predict the time delay. Simulation experiments show that this method has good prediction performance.","PeriodicalId":440430,"journal":{"name":"International Conference on Electronic Technology and Information Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A BP neural network time delay prediction method based on phase space reconstruction\",\"authors\":\"W. Sun, Liyan Zhang, Huigang Xu, S. Dou, Changxiang Li\",\"doi\":\"10.1117/12.2682466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a neural network time delay prediction method based on phase space reconstruction is presented. This method reconstructs one-dimensional chaotic time series in phase space according to the internal law through phase space reconstruction, and uses BP neural network algorithm to predict the time delay. Simulation experiments show that this method has good prediction performance.\",\"PeriodicalId\":440430,\"journal\":{\"name\":\"International Conference on Electronic Technology and Information Science\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Electronic Technology and Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2682466\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Electronic Technology and Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2682466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A BP neural network time delay prediction method based on phase space reconstruction
In this paper, a neural network time delay prediction method based on phase space reconstruction is presented. This method reconstructs one-dimensional chaotic time series in phase space according to the internal law through phase space reconstruction, and uses BP neural network algorithm to predict the time delay. Simulation experiments show that this method has good prediction performance.
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