Hybrid models of neural networks and genetic algorithms for predicting preliminary cost estimates

Journal of Computing in Civil Engineering

Volumn 19, Issue 2, 2005, Pages 208-211

  Kim, G H ^a,b   Seo, D S ^c   Kang, K I ^b  

^a Mokpo National University   (South Korea)

^b Korea University   (South Korea)

^c Cheju Halla University   (South Korea)

Author keywords

Algorithms; Construction industry; Cost estimates; Hybrid methods; Neural networks

Indexed keywords

BACKPROPAGATION; BUILDINGS; CONSTRUCTION INDUSTRY; DATA ACQUISITION; GENETIC ALGORITHMS; HEURISTIC METHODS; MATHEMATICAL MODELS;

COST ESTIMATES; GENERIC OPERATORS; HYBRID METHODS; TRIAL-AND-ERROR PROCESS;

MULTILAYER NEURAL NETWORKS;

EID: 18144382336     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0887-3801(2005)19:2(208)     Document Type: Article

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