ARTIFICIAL NEURAL NETWORK MODELING OF THE WATER QUALITY INDEX FOR THE EUPHRATES RIVER IN IRAQ
This study was aimed to investigate the development and evaluation of artificial intelligence techniques by using multilayer neural network. Levenberg–Marquardt back propagation (LMA) training algorithm was applied for calculating drinking water quality index (WQI) for Euphrates river (IRAQ). The t...
Main Author: | Ibrahim & et al. |
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Format: | Article |
Language: | English |
Published: |
Baghdad University
2020-12-01
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Series: | The Iraqi Journal of Agricultural science |
Subjects: | |
Online Access: | https://jcoagri.uobaghdad.edu.iq/index.php/intro/article/view/1184 |
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