{"title":"基于神经网络的电离层实时制图研究","authors":"C. Scotto","doi":"10.1016/S1464-1917(01)00014-9","DOIUrl":null,"url":null,"abstract":"<div><p>A study of real time ionospheric mapping of foF2 by neural network is presented. A perceptron is trained by backpropagation method to predict foF2 along a fixed latitude. Results of a numerical experiment and preliminary tests are shown.</p></div>","PeriodicalId":101026,"journal":{"name":"Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science","volume":"26 5","pages":"Pages 363-366"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1464-1917(01)00014-9","citationCount":"7","resultStr":"{\"title\":\"A study of real time ionospheric mapping by neural network\",\"authors\":\"C. Scotto\",\"doi\":\"10.1016/S1464-1917(01)00014-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A study of real time ionospheric mapping of foF2 by neural network is presented. A perceptron is trained by backpropagation method to predict foF2 along a fixed latitude. Results of a numerical experiment and preliminary tests are shown.</p></div>\",\"PeriodicalId\":101026,\"journal\":{\"name\":\"Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science\",\"volume\":\"26 5\",\"pages\":\"Pages 363-366\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1464-1917(01)00014-9\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1464191701000149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1464191701000149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study of real time ionospheric mapping by neural network
A study of real time ionospheric mapping of foF2 by neural network is presented. A perceptron is trained by backpropagation method to predict foF2 along a fixed latitude. Results of a numerical experiment and preliminary tests are shown.
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