Optimization of artificial neural network topology for membrane bioreactor filtration using response surface methodology

Optimization of artificial neural network topology for membrane bioreactor filtration using response surface methodology

The optimization of artificial neural networks (ANN) topology for predicting permeate flux of palm oil mill effluent (POME) in membrane bioreactor (MBR) filtration has been investigated using response surface methodology (RSM). A radial basis function neural network (RBFNN) model, trained by gradien...

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Bibliographic Details
Main Authors: Ibrahim, Syahira, Abdul Wahab, Norhaliza, Ismail, Fatimah Sham, Md. Sam, Yahaya
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2020
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/91718/1/SyahiraIbrahim2020_OptimizationofArtificialNeuralNetworkTopology.pdf

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http://eprints.utm.my/91718/1/SyahiraIbrahim2020_OptimizationofArtificialNeuralNetworkTopology.pdf

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