印度恒河水质遥感预测:回归与误差分析

S. Shakhari, A. K. Verma, I. Banerjee
{"title":"印度恒河水质遥感预测:回归与误差分析","authors":"S. Shakhari, A. K. Verma, I. Banerjee","doi":"10.1109/ICTKE47035.2019.8966796","DOIUrl":null,"url":null,"abstract":"Over the years, analysis of water quality parameters is becoming paramount because of the increasing water pollution which results in the loss of aquatic life which becomes detrimental for the ecosystem. To predict the values of the water quality parameters of places for which the data is not available, a predictive model comes to the fore. Regression Analysis aids us in predictive analysis of the physio-chemical parameters of water quality and perform error analysis by comparing the predicted values with the actual values of the parameters.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Remote Location Water Quality Prediction of the Indian River Ganga: Regression and Error Analysis\",\"authors\":\"S. Shakhari, A. K. Verma, I. Banerjee\",\"doi\":\"10.1109/ICTKE47035.2019.8966796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the years, analysis of water quality parameters is becoming paramount because of the increasing water pollution which results in the loss of aquatic life which becomes detrimental for the ecosystem. To predict the values of the water quality parameters of places for which the data is not available, a predictive model comes to the fore. Regression Analysis aids us in predictive analysis of the physio-chemical parameters of water quality and perform error analysis by comparing the predicted values with the actual values of the parameters.\",\"PeriodicalId\":442255,\"journal\":{\"name\":\"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTKE47035.2019.8966796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE47035.2019.8966796","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

多年来,由于水污染日益严重,导致水生生物的损失,对生态系统有害,水质参数的分析变得至关重要。为了预测无资料地区的水质参数值,一种预测模型应运而生。回归分析帮助我们对水质的理化参数进行预测分析,并将预测值与参数的实际值进行误差分析。
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
Remote Location Water Quality Prediction of the Indian River Ganga: Regression and Error Analysis
Over the years, analysis of water quality parameters is becoming paramount because of the increasing water pollution which results in the loss of aquatic life which becomes detrimental for the ecosystem. To predict the values of the water quality parameters of places for which the data is not available, a predictive model comes to the fore. Regression Analysis aids us in predictive analysis of the physio-chemical parameters of water quality and perform error analysis by comparing the predicted values with the actual values of the parameters.
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
Stock Market Sentiment Classification from FinTech News Government Data Sharing Framework based on DIKW Hierarchy Model Big Data Mining: Managing the Costs of Data Mining Dartboard-like Leaderboard for Mapping Educator Career Competition in a Gamification System Preparation of Smart Card Data for Food Purchase Analysis of Students through Process Mining
×
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