Ambient temperature modelling with soft computing techniques

Solar Energy

Volumn 84, Issue 7, 2010, Pages 1264-1272

  Bertini, Ilaria ^a   Ceravolo, Francesco ^a   Citterio, Marco ^a   De Felice, Matteo ^a,b   Di Pietra, Biagio ^a   Margiotta, Francesca ^a   Pizzuti, Stefano ^a   Puglisi, Giovanni ^a  

^a ENEA   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Artificial neural networks; Soft computing; Temperature modelling

Indexed keywords

AMBIENT TEMPERATURES; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BP ALGORITHM; DAILY TEMPERATURES; HYBRID APPROACH; SIMPLE GENETIC ALGORITHM; SOFTCOMPUTING TECHNIQUES; TEMPERATURE ESTIMATION; TEMPERATURE MODELLING;

BACKPROPAGATION ALGORITHMS; GENETIC ALGORITHMS; SOFT COMPUTING; TEMPERATURE DISTRIBUTION; THERMOANALYSIS;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; ESTIMATION METHOD; GENETIC ALGORITHM; NUMERICAL MODEL; SOFTWARE; TEMPERATURE PROFILE;

EID: 77953138188     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2010.04.003     Document Type: Article

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