Development of PCCP Wire Breaks Prediction Model Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Development of PCCP Wire Breaks Prediction Model Using Artificial Neural Networks

Published:2008-07-17 Issue: Volume: Page:
ISSN:
Container-title:Pipelines 2008
language:
Short-container-title:

Author:

Amaitik Nasser M.,Amaitik Saleh M.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/40994%28321%29128

Reference6 articles.

1. Prediction of Water Pipe Asset Life Using Neural Networks

2. Al-Barqawi H. & Zayed T. 2006 `Condition Rating Model for Underground Infrastructure Water Mains' Jou. of Constructed Facilities perf ASCE pp. 126-135.

3. Evaluation of CP Performance and Acoustic Monitoring results for White Pipe Sections on Phase I System - Technical Report 2006 Planning Follow-up and QA Dept. The Great Man-made River Authority November 20 Benghazi Libya.

4. Great Man-made River Authority (GMRA) Website 2007 [Online] Available at: http://www.gmmra.org/ [Accessed during 10-19 July 2007].

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