Gray and Neural Network Prediction of Effluent from the Wastewater Treatment Plant of Industrial Park Using Influent Quality-Reference-Cited by-同舟云学术

Gray and Neural Network Prediction of Effluent from the Wastewater Treatment Plant of Industrial Park Using Influent Quality

Published:2008-06 Issue:5 Volume:25 Page:757-766
ISSN:1092-8758
Container-title:Environmental Engineering Science
language:en
Short-container-title:Environmental Engineering Science

Author:

Pai Tzu-Yi¹

Affiliation:

1. Department of Environmental Engineering and Management, Chaoyang University of Technology, Wufeng, Taichung, 41349, Taiwan, Republic of China. Phone: +886-4-23323000-4465; Fax: +886-4-23742365; E-mail: bai@ms6.hinet.net

Publisher

Mary Ann Liebert Inc

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry

Link

http://www.liebertpub.com/doi/pdf/10.1089/ees.2007.0136

Reference20 articles.

1. A New Model of Heavy Metal Transport in the Soil Using Nonlinear Artificial Neural Networks

2. Evaluating Taiwan's air quality variation trends using grey system theory

3. Dynamic modelling of the activated sludge process: Improving prediction using neural networks

Cited by 28 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. Novel Ensemble Learning Approach for Predicting COD and TN: Model Development and Implementation;Water;2024-05-29

2. Performance prediction and control for wastewater treatment plants using artificial neural network modeling of mechanical and biological treatment;Archives of Environmental Protection;2023-11-29

3. Model construction and application for effluent prediction in wastewater treatment plant: Data processing method optimization and process parameters integration;Journal of Environmental Management;2022-01

4. Forecasting the Cumulative Confirmed Cases with the FGM and Fractional-Order Buffer Operator in Different Stages of COVID-19;Journal of Mathematics;2021-10-26

5. Modeling of a real industrial wastewater treatment plant based on aerated lagoon using a neuro-evolutive technique;Process Safety and Environmental Protection;2021-04