{"title":"基于递归神经网络的海面高度预测","authors":"Ying Li, Yong Li, Danya Xu, Jiang Jingyu","doi":"10.1504/ijais.2021.10041418","DOIUrl":null,"url":null,"abstract":"The prediction of sea surface height (SSH) is not only theoretically important, but also has many practical applications in various ocean-related fields. Due to the temporal nature of SSH variation...","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prediction of sea surface height based on recurrent neural network\",\"authors\":\"Ying Li, Yong Li, Danya Xu, Jiang Jingyu\",\"doi\":\"10.1504/ijais.2021.10041418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The prediction of sea surface height (SSH) is not only theoretically important, but also has many practical applications in various ocean-related fields. Due to the temporal nature of SSH variation...\",\"PeriodicalId\":383612,\"journal\":{\"name\":\"International Journal of Adaptive and Innovative Systems\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Adaptive and Innovative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijais.2021.10041418\",\"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 Journal of Adaptive and Innovative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijais.2021.10041418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of sea surface height based on recurrent neural network
The prediction of sea surface height (SSH) is not only theoretically important, but also has many practical applications in various ocean-related fields. Due to the temporal nature of SSH variation...
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