Drinking water quality and treatment: the use of artificial neural networks-Reference-Cited by-同舟云学术

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Drinking water quality and treatment: the use of artificial neural networks

Published:2001 Issue:S1 Volume:28 Page:26-35
ISSN:1208-6029
Container-title:Canadian Journal of Civil Engineering
language:
Short-container-title:Rev. can. génie civ.

Author:

Baxter C.W.,Zhang Q.,Stanley S.J.,Shariff R.,Tupas R.-R.T.,Stark H.L.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Cited by 17 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. An Adaptive Optimization Random Forest Algorithm for Water Quality Data Anomaly Detection;2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2023-08-27

2. Emerging investigator series: moving beyond resilience by considering antifragility in potable water systems;Environmental Science: Water Research & Technology;2022

3. Models to estimate the palm surface area of students in a tertiary institution in Abeokuta, Nigeria;Cogent Engineering;2016-04-20

4. A Soft Computing Approach to Optimize the Clarification Process in Wastewater Treatment;Lecture Notes in Computer Science;2016

5. Coagulation modeling using artificial neural networks to predict both turbidity and DOM-PARAFAC component removal;Journal of Environmental Chemical Engineering;2015-12

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