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

• المؤلفون الرئيسيون: Ibrahim, Syahira, Abdul Wahab, Norhaliza, Ismail, Fatimah Sham, Md. Sam, Yahaya
• التنسيق: مقال
• اللغة: English
• منشور في: Institute of Advanced Engineering and Science 2020
• الموضوعات: TK Electrical engineering. Electronics Nuclear engineering
• الوصول للمادة أونلاين: 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...