Hybrid artificial neural network genetic algorithm technique for modeling chemical oxygen demand removal in anoxic/oxic process
Author:
Publisher
Informa UK Limited
Subject
General Medicine,Environmental Engineering
Link
http://www.tandfonline.com/doi/pdf/10.1080/10934529.2011.562821
Reference20 articles.
1. Parallel hybrid modeling methods for a full-scale cokes wastewater treatment plant
2. Activated sludge wastewater treatment plant modelling and simulation: state of the art
3. Prediction of the bulking phenomenon in wastewater treatment plants
4. Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks
5. Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance
Cited by 7 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. Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review;Neural Processing Letters;2022-10-31
2. Employing Artificial Neural Networks to Predict the Performance of Domestic Sewage Treatment Terminals in the Rural Region;Mathematical Problems in Engineering;2021-12-23
3. Response surface methodology based electro-kinetic modeling of biological and chemical oxygen demand removal from sugar mill effluent by water hyacinth (Eichhornia crassipes) in a Continuous Stirred Tank Reactor (CSTR);Environmental Technology & Innovation;2019-05
4. A novel framework of multivariate modeling of water distribution network through 33 factorial design and artificial neural network;Journal of Environmental Science and Health, Part A;2019-02-22
5. Biochemical oxygen demand prediction in wastewater treatment plant by using different regression analysis models;DESALINATION AND WATER TREATMENT;2019
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