Use of ANFIS/Genetic Algorithm and Neural Network to Predict Inorganic Indicators of Water Quality

Use of ANFIS/Genetic Algorithm and Neural Network to Predict Inorganic Indicators of Water Quality

The present research used novel hybrid computational intelligence (CI) models to predict inorganic indicators of water quality. Two CI models i.e. artificial neural network (ANN) and a hybrid adaptive neuro-fuzzy inference system (ANFIS) trained by genetic algorithm (GA) were used to predict inorgan...

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Bibliographic Details
Main Authors: Majid Mohadesi, Babak Aghel
Format: Article
Language:English
Published: University of Tehran 2020-12-01
Series:Journal of Chemical and Petroleum Engineering
Subjects:
anfis
ann
genetic algorithm
water quality
Online Access:https://jchpe.ut.ac.ir/article_78104.html

Internet

https://jchpe.ut.ac.ir/article_78104.html

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