Optimization of adaptive neuro–fuzzy inference system (ANFIS) parameters via Box-Behnken experimental design approach: The prediction of chromium adsorption

Optimization of adaptive neuro–fuzzy inference system (ANFIS) parameters via Box-Behnken experimental design approach: The prediction of chromium adsorption

Prediction of adsorption via Adaptive Neuro–Fuzzy Inference System (ANFIS) can save the cost and time in practical applications. Chromium (VI) adsorption data obtained at different temperature, activated carbon dosage and pH values were evaluated by using MATLAB ANFIS. In order to achieve prediction...

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Bibliographic Details
Main Authors: Dilek Duranoğlu, Esat Sinan Altın, İlknur Küçük
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Adaptive Neuro–Fuzzy Inference System (ANFIS)
Chromium adsorption
Prediction
Membership function
Experimental design
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024018449

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http://www.sciencedirect.com/science/article/pii/S2405844024018449

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