The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach

Expert Systems with Applications

Volumn 38, Issue 7, 2011, Pages 8597-8606

  Koo, Choongwan ^a   Hong, Taehoon ^a   Hyun, Changtaek ^b  

^a Yonsei University   (South Korea)

^b University of Seoul   (South Korea)

Author keywords

Construction costs; Housing; Neural networks; Optimization; Regression analysis

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ATTRIBUTE SIMILARITY; ATTRIBUTE WEIGHT; CASE SELECTIONS; CBR; CONSTRUCTION COSTS; CONSTRUCTION PROJECTS; EASE OF USE; HOUSING PROJECTS; MICROSOFT; MULTIPLE REGRESSION ANALYSIS; OPTIMIZATION PARAMETER; OPTIMIZATION PROCESS; PREDICTION METHODOLOGY; SIGNIFICANT IMPACTS; TOLERANCE RANGE; UNCERTAIN INFORMATIONS; VISUAL BASIC APPLICATION;

CASE BASED REASONING; CONSTRUCTION INDUSTRY; COSTS; DECISION MAKING; FORECASTING; HOUSING; MATHEMATICAL MODELS; METAL ANALYSIS; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; STATISTICS;

COST BENEFIT ANALYSIS;

EID: 79952443537     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.01.063     Document Type: Article

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