A study of preproject planning and project success using ANNs and regression models

Automation in Construction

Volumn 19, Issue 3, 2010, Pages 341-346

  Wang, Yu Ren ^a   Gibson Jr , G Edward ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b Arizona State University   (United States)

Author keywords

ANN model; Preproject planning; Project success; Regression model

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; BUILDING PROJECTS; CONSTRUCTION COSTS; COST AND SCHEDULE; DIRECT IMPACT; INDUSTRIAL PROJECTS; INDUSTRY PROJECT; MODEL ANALYSIS; PLANNING PROJECTS; PROJECT LIFE CYCLE; PROJECT OUTCOMES; PROJECT PERFORMANCE; PROJECT SUCCESS; REGRESSION MODEL; RESEARCH ANALYSIS; RESEARCH RESULTS; STATISTICAL REGRESSION;

CONSTRUCTION INDUSTRY; ELECTRONIC EQUIPMENT MANUFACTURE; NEURAL NETWORKS; PROJECT MANAGEMENT; REGRESSION ANALYSIS; RESEARCH;

COST BENEFIT ANALYSIS;

EID: 77949488890     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2009.12.007     Document Type: Article

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