Xuequn Chen, Fulin Li, Ye Liu, Chengshan Yan, Lin Lin
{"title":"济南市岩溶水动态变化的神经网络模拟及泉水喷涌趋势预测","authors":"Xuequn Chen, Fulin Li, Ye Liu, Chengshan Yan, Lin Lin","doi":"10.1109/WCSE.2009.131","DOIUrl":null,"url":null,"abstract":"Considering the factors that affect the karst water level, the improved Neural Network Model has been applied to construct the random model that analogs the dynamic change of karst water. The accuracy of our analog has been greatly improved compared with that of multi-line recurrence model; moreover, BP model has strong functions of study, fault tolerance and association. In a word, BP model is an effective tool to predict the dynamic change of karst water. In addition, the spewing tendency of springs in Jinan is analyzed based on our prediction results in this paper.","PeriodicalId":331155,"journal":{"name":"2009 WRI World Congress on Software Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Neural Network Analog on Dynamic Variation of the Karst Water and the Prediction for Spewing Tendency of Springs in Jinan\",\"authors\":\"Xuequn Chen, Fulin Li, Ye Liu, Chengshan Yan, Lin Lin\",\"doi\":\"10.1109/WCSE.2009.131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the factors that affect the karst water level, the improved Neural Network Model has been applied to construct the random model that analogs the dynamic change of karst water. The accuracy of our analog has been greatly improved compared with that of multi-line recurrence model; moreover, BP model has strong functions of study, fault tolerance and association. In a word, BP model is an effective tool to predict the dynamic change of karst water. In addition, the spewing tendency of springs in Jinan is analyzed based on our prediction results in this paper.\",\"PeriodicalId\":331155,\"journal\":{\"name\":\"2009 WRI World Congress on Software Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 WRI World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2009.131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 WRI World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2009.131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural Network Analog on Dynamic Variation of the Karst Water and the Prediction for Spewing Tendency of Springs in Jinan
Considering the factors that affect the karst water level, the improved Neural Network Model has been applied to construct the random model that analogs the dynamic change of karst water. The accuracy of our analog has been greatly improved compared with that of multi-line recurrence model; moreover, BP model has strong functions of study, fault tolerance and association. In a word, BP model is an effective tool to predict the dynamic change of karst water. In addition, the spewing tendency of springs in Jinan is analyzed based on our prediction results in this paper.
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