Application of artificial neural network to predict thermal transmittance of wooden windows

Applied Energy

Volumn 98, Issue , 2012, Pages 425-432

  Buratti, Cinzia ^a   Barelli, Linda ^a   Moretti, Elisa ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

Author keywords

Artificial neural network; Experimental data; French windows; Thermal transmittance prediction; Wooden windows

Indexed keywords

FORECASTING; GLAZES; MIXED CONVECTION; NEURAL NETWORKS; STATISTICAL TESTS;

AIR CAVITY; ARTIFICIAL NEURAL NETWORK MODELS; DATA SETS; DESIGN PARAMETERS; EXPERIMENTAL CAMPAIGN; EXPERIMENTAL DATA; FEED-FORWARD; INPUT PARAMETER; MAIN PARAMETERS; MATERIAL PROPERTY; NETWORK INPUTS; NETWORK TRAINING; NUMERICAL CALCULATION; NUMERICAL PROCEDURES; PRELIMINARY ANALYSIS; REAL TIME; SIMPLIFIED METHOD; THERMAL PERFORMANCE; THERMAL TRANSMITTANCE;

WINDOWS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; COMPUTATIONAL FLUID DYNAMICS; DATA SET; EXPERIMENTAL STUDY; NUMERICAL METHOD; NUMERICAL MODEL; TEMPERATURE EFFECT; TYPOLOGY; VENTILATION;

EID: 84862183832     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.04.004     Document Type: Article

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