Optimization of an artificial neural network by selecting the training function. Application to olive oil mills waste

Industrial and Engineering Chemistry Research

Volumn 47, Issue 18, 2008, Pages 7072-7080

  Torrecilla, José S ^a   Aragón, José M ^a   Palancar, María C ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION ALGORITHMS; BOOLEAN FUNCTIONS; CONJUGATE GRADIENT METHOD; CORRELATION METHODS; DEWATERING; FLUIDIZATION; FORECASTING; IMAGE CLASSIFICATION; MOISTURE; NETWORK PROTOCOLS; NEURAL NETWORKS; SENSOR NETWORKS; STATISTICAL TESTS; VEGETABLE OILS;

ARTIFICIAL NEURAL NETWORK; BED TEMPERATURES; CONJUGATE GRADIENT; CORRELATION CO-EFFICIENT; EXPERIMENTAL DATA; EXPERIMENTAL DESIGN; FLUIDIZED BED DRYERS; OLIVE OIL; PREDICTION ERRORS; SAMPLING TIME; THREE-LAYER PERCEPTION; TRAINING ALGORITHMS; TRAINING FUNCTION;

BACKPROPAGATION;

EID: 53349109587     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie8001205     Document Type: Article

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