Predication of Water Pollution Peak Concentrations by Hybrid BP Artificial Neural Network Coupled with Genetic Algorithm-Reference-Cited by-同舟云学术

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Predication of Water Pollution Peak Concentrations by Hybrid BP Artificial Neural Network Coupled with Genetic Algorithm

Published:2024-04-13 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Lu Yanbo¹,Li Tong¹^ORCID,Deng Ying¹

Affiliation:

1. Department of Water Quality Early Warning, Guangdong Ecological and Environmental Monitoring Center, Guangzhou, P.R. China

Funder

Major Science and Technology Program for Water Pollution Control and Treatment

Ministry of Science and Technologyof the People’s Republic of China

R&D projects in key areas of Guangdong Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2341356

Reference71 articles.

1. Lead and stable lead isotopes as tracers of soil pollution and human health risk assessment in former industrial cities of Hungary

2. Numerical simulation of Dissolved Oxygen as a water quality indicator in artificial lagoons—Case study El Gouna, Egypt

3. Soil properties and tree growth performance along a slope of a reclaimed land in the rain forest agroecological zone of Ghana

4. Measurement and mathematical modelling of nutrient level and water quality parameters

5. Development of Water Quality Modeling in the United States

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