Performance prediction of solar collectors using artificial neural networks

2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009

Volumn 2, Issue , 2009, Pages 573-576

  Xie, Hui ^a   Liu, Li ^a   Ma, Fei ^a   Fan, Huifang ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

ANN; Performance prediction; Solar collector

Indexed keywords

AMBIENT TEMPERATURES; ANN; ARTIFICIAL NEURAL NETWORK; AZIMUTH ANGLES; BACKPROPAGATION LEARNING ALGORITHM; COEFFICIENT OF VARIANCE; HEATING CAPACITY; HIDDEN LAYERS; INPUT LAYERS; MAXIMUM CORRELATION COEFFICIENT; METEOROLOGICAL CONDITION; NEW APPROACHES; PERFORMANCE PARAMETERS; PERFORMANCE PREDICTION; ROOT MEAN SQUARE ERRORS; SIGMOID TRANSFER FUNCTION; SIMULATION RESULT; TILT ANGLE; TRAINING DATA;

COMPUTATIONAL EFFICIENCY; FORECASTING; LEARNING ALGORITHMS; SOLAR COLLECTORS; SOLAR HEATING;

NEURAL NETWORKS;

EID: 77949282480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICI.2009.344     Document Type: Conference Paper

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