Window-Based Decision Support System for the Water Pipe Condition Assessment using Artificial Neural Network

World Water and Environmental Resources Congress

Volumn , Issue , 2003, Pages 2027-2032

  Geem, Zong Woo ^a  

^a WESTAT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PIPE CONDITION ASSESSMENT;

ALGORITHMS; BACKPROPAGATION; CENTRIFUGAL CASTING; CONDITION MONITORING; DECISION SUPPORT SYSTEMS; EXCAVATION; GRAPHICAL USER INTERFACES; HEALTH CARE; NEURAL NETWORKS; OPTIMIZATION; WATER DISTRIBUTION SYSTEMS; WATER PIPING SYSTEMS;

WATER PIPELINES;

EID: 1642476347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000). "Artificial Neural Networks in Hydrology. I: Preliminary Concepts." Journal of Hydrologic Engineering, ASCE, 5(2), 115-123.
2. Dandy, G. C., and Engelhardt, M. (2001). "Optimal Scheduling of Water Pipe Replacement Using Genetic Algorithms." Journal of Water Resources Planning and Management, ASCE, 127(4), 214-223.
3. 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.
4. Luong, H. T., and Nagarur, N. N. (2001). "Optimal Replacement Policy for Single Pipes in Water Distribution Networks." Water Resources Research, 37(12), 3285-3293.
5. Oh, C. S. (2000). Introduction to the Neurocomputer. Naeha, Seoul, Korea.