Article Per Year (5 Year)
p-Index From 2020 - 2025
0.961
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Norhaliza Abdul Wahab
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal of Electrical and Computer Engineering

 1 
Neural Network Model Development with Soft Computing Techniques for Membrane Filtration Process Zakariah Yusuf; Norhaliza Abdul Wahab; Shafishuhaza Sahlan
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (701.807 KB) | DOI: 10.11591/ijece.v8i4.pp2614-2623

Abstract

Membrane bioreactor employs an efficient filtration technology for solid and liquid separation in wastewater treatment process. Development of membrane filtration model is significant as this model can be used to predict filtration dynamic which is later utilized in control development. Most of the available models only suitable for monitoring purpose, which are too complex, required many variables and not suitable for control system design. This work focusing on the simple time seris model for membrane filtration process using neural network technique. In this paper, submerged membrane filtration model developed using recurrent neural network (RNN) train using genetic algorithm (GA), inertia weight particle swarm optimization (IW-PSO) and gravitational search algorithm (GSA). These optimization algorithms are compared in term of its accuracy and convergent speed in updating the weights and biases of the RNN for optimal filtration model. The evaluation of the models is measured using three performance evaluations, which are mean square error (MSE), mean absolute deviation (MAD) and coefficient of determination (R2). From the results obtained, all methods yield satisfactory result for the model, with the best results given by IW-PSO.
Co-Authors Abubakar Ibrahim Tukur Aliyu Muhammad Abdu Azavitra Zainal Aznah Nor Anuar Fatimah Sham Ismail Irma Wani Jamaludin Wani Jamaludin M. F. Rahmat Mashitah C. Razali Mashitah Che Razali Mubarak Auwal Saleh Muhammad Sani Gaya Muhammad Sani Gaya Muhammad Sani Gaya Mustafa Bob Nur Sakinah Ahmad Yasmin Nurazizah Mahmod Parvaneh Esmaili Ramon Vilanova Sani Isah Abba Shafishuhaza Sahlan Syahira Ibrahim Yahaya Md Sam Zakariah Yusof Zakariah Yusuf