Optimization strategy to improve the removal efficiency of commercial herbicides using a multivariable inverse artificial neural network adapted with particle swarm optimization-Reference-Cited by-同舟云学术

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Optimization strategy to improve the removal efficiency of commercial herbicides using a multivariable inverse artificial neural network adapted with particle swarm optimization

Published:2022 Issue: Volume:277 Page:90-104
ISSN:
Container-title:DESALINATION AND WATER TREATMENT
language:
Short-container-title:DWT

Author:

Cruz-Jacobo U.,Conde-Gutiérrez R.A.,Hernández J.A.,Silva-Martínez S.,Colorado D.,Juárez-Romero D.,Álvarez-Gallegos A.

Publisher

Desalination Publications

Subject

Plant Science,Agronomy and Crop Science,General Medicine,Horticulture,Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Ecology,Ecology, Evolution, Behavior and Systematics,Plant Science,Agronomy and Crop Science,Plant Science,Ecology, Evolution, Behavior and Systematics,Plant Science,Ecology,Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics,Plant Science,Chemistry (miscellaneous),Food Science,Plant Science,Genetics,Biochemistry,Biotechnology

Link

http://www.deswater.com/DWT_articles/vol_277_papers/277_2022_90.pdf

Cited by 2 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. Simultaneous increase of parameters of an experimental absorption system: Neural network inverse optimization methodology with multi-inputs;Applied Soft Computing;2024-07

2. Model based control of dissolved oxygen in paper mill effluent using response surface methodology;Desalination and Water Treatment;2024-07

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