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

• 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/id/eprint/91718/1/SyahiraIbrahim2020_OptimizationofArtificialNeuralNetworkTopology.pdf; http://eprints.utm.my/id/eprint/91718/; http://dx.doi.org/10.11591/ijai.v9.i1.pp117-125

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...