{"title":"BP神经网络在可疑空间目标轨道预测中的应用","authors":"Zhu Can-shi, Zhu Lin","doi":"10.1109/ICIC.2010.12","DOIUrl":null,"url":null,"abstract":"As a type of artificial intelligence model derived from the human brain system, the neural network has the function to simulate the human brain. The paper is intended to introduce the neural network into the measurements and calculations of space object orbits, thereby giving fuller play to its advantages in dealing with the non-linear issues, and thus making it possible to design the prediction algorithm of space object orbits based on BP neural network and then verify the feasibility of this algorithm.","PeriodicalId":176212,"journal":{"name":"2010 Third International Conference on Information and Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Application of BP Neural Network in the Predictions of Suspicious Space Target Orbits\",\"authors\":\"Zhu Can-shi, Zhu Lin\",\"doi\":\"10.1109/ICIC.2010.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a type of artificial intelligence model derived from the human brain system, the neural network has the function to simulate the human brain. The paper is intended to introduce the neural network into the measurements and calculations of space object orbits, thereby giving fuller play to its advantages in dealing with the non-linear issues, and thus making it possible to design the prediction algorithm of space object orbits based on BP neural network and then verify the feasibility of this algorithm.\",\"PeriodicalId\":176212,\"journal\":{\"name\":\"2010 Third International Conference on Information and Computing\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Conference on Information and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC.2010.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Conference on Information and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC.2010.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Application of BP Neural Network in the Predictions of Suspicious Space Target Orbits
As a type of artificial intelligence model derived from the human brain system, the neural network has the function to simulate the human brain. The paper is intended to introduce the neural network into the measurements and calculations of space object orbits, thereby giving fuller play to its advantages in dealing with the non-linear issues, and thus making it possible to design the prediction algorithm of space object orbits based on BP neural network and then verify the feasibility of this algorithm.