OPTIMIZATION OF DRINKING WATER TREATMENT PROCESSES USING ARTIFICIAL NEURAL NETWORK

Authors

  • TC Ogwueleka Department of Civil Engineering, University of Abuja. NIGERIA
  • FN Ogwueleka Department of Mathematics, Statistics & Computer Science, University of Abuja. NIGERIA

DOI:

https://doi.org/10.4314/njt.281.125

Keywords:

Water treatment, artificial neural network, cost optimization, filtration, sedimentation

Abstract

Drinking water treatment is the process of removing microorganisms and solid from water through different methods such as coagulation and filtration. Artificial neural network (ANN) was developed for process and cost optimization of drinking water treatment processes. Results obtained from ANN model showed that ANN is a suitable tool for the improvement of overall process performance and cost effectiveness in drinking water treatment. There was cost reduction, process safety improvement, and high stability in ANN application of water treatment.

Downloads

Issue

Section

Research papers of General Interest

How to Cite

OPTIMIZATION OF DRINKING WATER TREATMENT PROCESSES USING ARTIFICIAL NEURAL NETWORK. (2008). Nigerian Journal of Technology, 28(1), 16-25. https://doi.org/10.4314/njt.281.125