Predicting water pipe breaks using neural network

Water Science and Technology: Water Supply

Volumn 5, Issue 3-4, 2005, Pages 159-172

  Ahn, J C ^a   Lee, S W ^a   Lee, G S ^a   Koo, J Y ^b  

^a Seoul National University Boramae Hospital   (South Korea)

^b University of Seoul   (South Korea)

Author keywords

Artificial neural network; Pipe breaks; Soil temperature; Water temperature

Indexed keywords

MAINTENANCE; NEURAL NETWORKS; SOILS; THERMAL EFFECTS; WATER; WATER SUPPLY;

PIPE BREAKS; SOIL TEMPERATURE; WATER PIPES; WATER TEMPERATURE;

PIPE;

FRACTURE; NEURAL NETWORK; PIPING SYSTEM; PREDICTION;

ARTIFICIAL NEURAL NETWORK; AUTUMN; CONFERENCE PAPER; PREDICTION; SOIL TEMPERATURE; SPRING; WATER ANALYSIS; WATER SUPPLY; WATER TEMPERATURE;

EID: 29144439250     PISSN: 16069749     EISSN: None     Source Type: Journal    
DOI: 10.2166/ws.2005.0096     Document Type: Conference Paper

References (7)

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