Teaching-Learning-Based Optimization of Neural Networks for Water Supply Pipe Condition Prediction

Teaching-Learning-Based Optimization of Neural Networks for Water Supply Pipe Condition Prediction

The bulk of water pipes experience major degradation and deterioration problems. This research aims at estimating the condition of water pipes in Shattora and Shaker Al-Bahery’s water distribution networks, in Egypt. The developed models involve training the Elman neural network (ENN) and feed-forwa...

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Bibliographic Details
Main Authors: Nehal Elshaboury, Eslam Mohammed Abdelkader, Abobakr Al-Sakkaf, Ghasan Alfalah
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Water
Subjects:
teaching-learning-based optimization
optimized neural network
machine learning
optimization algorithm
condition prediction
Online Access:https://www.mdpi.com/2073-4441/13/24/3546

Internet

https://www.mdpi.com/2073-4441/13/24/3546

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