基于神经网络的水资源承载力综合评价分析方法

W. Jianjun
{"title":"基于神经网络的水资源承载力综合评价分析方法","authors":"W. Jianjun","doi":"10.1109/ICICTA.2015.84","DOIUrl":null,"url":null,"abstract":"Based on the combination of genetic algorithm and BP artificial neural network, this paper proposes a novel method that combines the improved GA and ANN to evaluate the carrying capacity of water resource. This method was applied to Huaihe River basin carrying capacity of water resources, from the experiment results, we can draw a conclusion that the method proposed in this paper is feasible. It takes a new way to analyze the carrying capacity of water resources.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comprehensive Evaluation and Analysis Method for Carrying Capacity of Water Resource Based on Neural Network\",\"authors\":\"W. Jianjun\",\"doi\":\"10.1109/ICICTA.2015.84\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the combination of genetic algorithm and BP artificial neural network, this paper proposes a novel method that combines the improved GA and ANN to evaluate the carrying capacity of water resource. This method was applied to Huaihe River basin carrying capacity of water resources, from the experiment results, we can draw a conclusion that the method proposed in this paper is feasible. It takes a new way to analyze the carrying capacity of water resources.\",\"PeriodicalId\":231694,\"journal\":{\"name\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2015.84\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.84","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在遗传算法与BP人工神经网络相结合的基础上,提出了一种将改进遗传算法与人工神经网络相结合的水资源承载力评价方法。将该方法应用于淮河流域水资源承载力,从实验结果可以得出结论,本文提出的方法是可行的。这为水资源承载力分析提供了一种新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Comprehensive Evaluation and Analysis Method for Carrying Capacity of Water Resource Based on Neural Network
Based on the combination of genetic algorithm and BP artificial neural network, this paper proposes a novel method that combines the improved GA and ANN to evaluate the carrying capacity of water resource. This method was applied to Huaihe River basin carrying capacity of water resources, from the experiment results, we can draw a conclusion that the method proposed in this paper is feasible. It takes a new way to analyze the carrying capacity of water resources.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Cloud-Based Integrated Management System for Rural Information Service Station: Architecture and Implementation A New Dynamic Authentication Captcha Based on Negotiation Between Host and Mobile Terminal for Electronic Commerce Automatical Optimal Threshold Searching Algorithm Based on Bhattacharyya Distance and Support Vector Machine Hardware Design of Fall Detection System Based on ADXL345 Sensor Non-circular Gear Modal Analysis Based on ABAQUS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1