Use of a GIS-based hybrid artificial neural network to prioritize the order of pipe replacement in a water distribution network

Environmental Monitoring and Assessment

Volumn 166, Issue 1-4, 2010, Pages 177-189

  Ho, Cheng I ^a   Lin, Min Der ^b   Lo, Shang Lien ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Geographic information system; Radial basis function network; Water leakage

Indexed keywords

ANN PREDICTION; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; EARTHQUAKE DATA; HOTSPOTS; HYBRID ARTIFICIAL NEURAL NETWORK; INPUT FACTORS; LEAKAGE AREA; MANAGEMENT SYSTEMS; PIPE DIAMETER; PIPE MATERIAL; PIPELINE LEAKAGE; SPATIAL DISTRIBUTION; WATER DISTRIBUTION NETWORKS; WATER LEAKAGE;

ATTITUDE CONTROL; DISTRIBUTED PARAMETER NETWORKS; EARTHQUAKES; FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; MANAGEMENT INFORMATION SYSTEMS; MATHEMATICAL MODELS; PIPE; PIPELINES; RADIAL BASIS FUNCTION NETWORKS; SIZE DISTRIBUTION; WATER DISTRIBUTION SYSTEMS; WATER SUPPLY;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; GIS; LEAKAGE; NUMERICAL MODEL; PIPELINE; VISUALIZATION; WATER SUPPLY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; EARTHQUAKE; FUZZY LOGIC; GEOGRAPHIC INFORMATION SYSTEM; MATHEMATICAL ANALYSIS; METHODOLOGY; PIPELINE; PREDICTION; SIMULATION; TAIWAN; WATER SUPPLY;

COMPUTER SIMULATION; CONSERVATION OF NATURAL RESOURCES; DECISION MAKING, COMPUTER-ASSISTED; DRAINAGE, SANITARY; EARTHQUAKES; GEOGRAPHIC INFORMATION SYSTEMS; NEURAL NETWORKS (COMPUTER); TAIWAN; WATER SUPPLY;

EID: 77954144036     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-009-0994-6     Document Type: Article

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