{"title":"使用人工神经网络预测地下水位的替代方法：与地下水流数值模型的比较评估","authors":"Mulu Sewinet Kerebih, Ashok K. Keshari","doi":"10.1080/02626667.2024.2393421","DOIUrl":null,"url":null,"abstract":"Over-exploitation of groundwater in arid and semi-arid regions requires an understanding of dynamics for effective management strategies. This study uses an artificial neural network (ANN) to predi...","PeriodicalId":13036,"journal":{"name":"Hydrological Sciences Journal","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of groundwater level using artificial neural network as an alternative approach: A comparison assessment with numerical groundwater flow model\",\"authors\":\"Mulu Sewinet Kerebih, Ashok K. Keshari\",\"doi\":\"10.1080/02626667.2024.2393421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over-exploitation of groundwater in arid and semi-arid regions requires an understanding of dynamics for effective management strategies. This study uses an artificial neural network (ANN) to predi...\",\"PeriodicalId\":13036,\"journal\":{\"name\":\"Hydrological Sciences Journal\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Sciences Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02626667.2024.2393421\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02626667.2024.2393421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of groundwater level using artificial neural network as an alternative approach: A comparison assessment with numerical groundwater flow model
Over-exploitation of groundwater in arid and semi-arid regions requires an understanding of dynamics for effective management strategies. This study uses an artificial neural network (ANN) to predi...
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