{"title":"基于遗传算法优化BP神经网络的钟差预报","authors":"绍林 潘, 显云 张, 小东 邓","doi":"10.32629/gmsm.v3i4.791","DOIUrl":null,"url":null,"abstract":"高精度的卫星钟差在非差精密单点定位中尤为重要。鉴于卫星钟差的高精度及时效性,对其进行模型建立与预报显得十分必要。神经网络具有很好的泛化能力,能处理各种非线性问题,故本文采用反向传播算法(BP算法)神经网络预报模型。","PeriodicalId":59237,"journal":{"name":"地矿测绘","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"地矿测绘","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.32629/gmsm.v3i4.791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
基于遗传算法优化BP神经网络的钟差预报
高精度的卫星钟差在非差精密单点定位中尤为重要。鉴于卫星钟差的高精度及时效性,对其进行模型建立与预报显得十分必要。神经网络具有很好的泛化能力,能处理各种非线性问题,故本文采用反向传播算法(BP算法)神经网络预报模型。
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