Determination of the forecasting-model parameters by statistical analysis for development of algae warning system-Reference-Cited by-同舟云学术

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Determination of the forecasting-model parameters by statistical analysis for development of algae warning system

Published:2016-09-01 Issue:55 Volume:57 Page:26773-26782
ISSN:1944-3994
Container-title:Desalination and Water Treatment
language:en
Short-container-title:Desalination and Water Treatment

Author:

Lee Gooyong¹,Othman Faridah²,Ibrahim Shaliza³,Jang Min³

Affiliation:

1. Water Research Center, Institute of Research Management and Monitoring, University of Malaya (UM), Kuala Lumpur, Malaysia

2. Faculty of Engineering, Department of Civil Engineering, University of Malaya (UM), Kuala Lumpur, Malaysia

3. Department of Environmental Engineering, Kwangwoon University, Seoul, Republic of Korea, Tel. ; Fax:

Publisher

Informa UK Limited

Subject

Pollution,Ocean Engineering,Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/19443994.2016.1190106

Reference46 articles.

1. Using Artificial Neural Network Models for Eutrophication Prediction

2. Hybrid ANN–GA model for predicting turbidity and chlorophyll-a concentrations

3. Case studies on the use of neural networks in eutrophication modeling

4. Integration of data mining techniques and heuristic knowledge in fuzzy logic modelling of eutrophication in Taihu Lake

5. Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

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