Estimating effluent turbidity in the drinking water flocculation process with an improved random forest model
Author:
Affiliation:
1. College of Automation & College of Artifical Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2. Jiangsu Engineering Laboratory for Internet of Things and Intelligent Robots, Nanjing 210023, China
Abstract
Funder
National Natural Science Foundation of China
Science and Technology Project of Water Conservancy of Jiangsu Province
Major Science and Technology Program for Water Pollution Control and Treatment
NUPTSF
Publisher
IWA Publishing
Subject
Water Science and Technology
Link
https://iwaponline.com/ws/article-pdf/22/1/1107/994058/ws022011107.pdf
Reference46 articles.
1. Neuro-fuzzy ensemble techniques for the prediction of turbidity in water treatment plant;Abba,2019
2. Experimental analysis and prediction of velocity profiles of turbidity current in a channel with abrupt slope using artificial neural network
3. Spatial prediction of permafrost occurrence in Sikkim Himalayas using logistic regression, random forests, support vector machines and neural networks
4. Real-time model predictive control of a wastewater treatment plant based on machine learning;Bernardelli;Water Science and Technology,2020
5. Development of computer artificial intelligence ai and analysis of its hardware technology;Bian;Basic & Clinical Pharmacology & Toxicology,2020
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Implementation of Machine Learning Techniques for Prediction of the Corrosion Depth for Water Pipelines;Pipelines 2023;2023-08-10
2. Development of water quality prediction model for water treatment plant using artificial intelligence algorithms;Environmental Engineering Research;2023-06-25
3. Acquisition and analysis of floc images by machine learning technique to improve the turbidity removal process;DESALINATION AND WATER TREATMENT;2023
4. Bessel-Beam Interferometry for Turbidity With Refractive Index, Attenuation Coefficient, and Loss;IEEE Sensors Letters;2022-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3