A non-linear case-based reasoning approach for retrieval of similar cases and selection of target credits in LEED projects

Building and Environment

Volumn 93, Issue P2, 2015, Pages 349-361

  Cheng, Jack C P ^a   Ma, Lucky J ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Artificial neural network; Case based reasoning; Decision support tool; LEED NC v2009; Non linear; Target credit selection

Indexed keywords

ARCHITECTURAL DESIGN; BUILDINGS; DECISION SUPPORT SYSTEMS; ENERGY EFFICIENCY; ENVIRONMENTAL DESIGN; MANAGERS; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; PERSONNEL TRAINING; REGRESSION ANALYSIS;

CASE-BASED REASONING APPROACHES; DECISION SUPPORT TOOLS; GREEN BUILDING PROJECTS; LEADERSHIP IN ENERGY AND ENVIRONMENTAL DESIGNS; MULTIPLE REGRESSION ANALYSIS; NON LINEAR; PLANNING AND DESIGNINGS; U.S. GREEN BUILDING COUNCILS;

CASE BASED REASONING;

ACCURACY ASSESSMENT; ARCHITECTURAL DESIGN; ARTIFICIAL NEURAL NETWORK; CONSTRUCTION METHOD; DECISION SUPPORT SYSTEM; ENVIRONMENTAL ASSESSMENT; NONLINEARITY; PLANNING METHOD; PROJECT ASSESSMENT;

UNITED STATES;

EID: 84938061815     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2015.07.019     Document Type: Article

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