Trenchless water pipe condition assessment using artificial neural network

Pipelines 2007: Advances and Experiences with Trenchless Pipeline Projects - Proceedings of the ASCE International Conference on Pipeline Engineering and Construction

Volumn , Issue , 2007, Pages 26-

  Geem, Zong Woo ^a   Tseng, Chung Li ^b   Kim, Juhwan ^c   Bae, Cheolho ^c  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

^c Korea Water Resources Corporation   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC RECHARGE; MULTIPLE REGRESSION MODEL; STATISTICAL CORRELATION; WATER PIPE;

COATINGS; COMPUTATION THEORY; CORROSION; NEURAL NETWORKS; REGRESSION ANALYSIS; TRENCHING;

PIPE;

EID: 36348949276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40934(252)26     Document Type: Conference Paper

References (11)

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4. Geem, Z. W., Kim, J. H., and Loganathan, G. V. (2001) "A New Heuristic Optimization Algorithm: Harmony Search." Simulation, 76(2), 60-68.
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8. Lee, C. Y., Shin, H. S., Kim, J. H., and Geem, Z. W., "Development of Deterioration Prediction Model for Water Distribution Systems using Probabilistic Neural Network (PNN)," Proceedings of the Conference of the Korean Water Resources Association, 499-504, Muju, Korea, May 1998.
9. Loganathan, G. V., Park, S., and Sherali, H. D. (2002). "Threshold Break Rate for Pipeline Replacement in Water Distribution Systems." Journal of Water Resources Planning and Management, ASCE, 128(4), 271-279.
10. Oh, C. S. (2000). Introduction to the Neurocomputer. Naeha Publishing, Seoul, Korea.
11. Rodriguez, M. J., Milot, J., Serodes, J. B. (2003). "Predicting trihalomethane formation in chlorinated waters using multivariate regression and neural networks." Journal of Water Supply Research and Technology - Aqua, 52 (3), 199-215.