Neural networks deterioration models for serviceability condition of buried stormwater pipes

Engineering Applications of Artificial Intelligence

Volumn 20, Issue 8, 2007, Pages 1144-1151

  Tran, D H ^a   Ng, A W M ^a   Perera, B J C ^a  

^a VICTORIA UNIVERSITY   (Australia)

Author keywords

Bayesian; Buried stormwater pipes; Monte Carlo simulation; Neural networks

Indexed keywords

CLOSED CIRCUIT TELEVISION SYSTEMS; COMPUTER SIMULATION; RAIN; RUNOFF; UNCERTAINTY ANALYSIS; WATER PIPELINES; WATER SUPPLY;

BURIED STORMWATER PIPES; COMPLETE BLOCKAGE; DETERIORATION PROCESSES; MULTIPLE DISCRIMINATION ANALYSIS (MDA); NEURAL NETWORKS MODELLING (NNM);

NEURAL NETWORKS;

EID: 35548972565     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2007.02.005     Document Type: Article

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