Optimization of an artificial neural network for thermal/pressure food processing: Evaluation of training algorithms

Computers and Electronics in Agriculture

Volumn 56, Issue 2, 2007, Pages 101-110

  Torrecilla, J S ^a   Otero, L ^b   Sanz, P D ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b INSTITUTO DEL FRÍO CSIC   (Spain)

Author keywords

Artificial neural network; Food processing; High pressure; Modeling; Thermal control; Training algorithm

Indexed keywords

ALGORITHMS; FOOD PROCESSING; HIGH PRESSURE EFFECTS; OPTIMIZATION; PRESSURIZATION;

LEVENBERG MARQUARDT ALGORITHM; THERMAL CONTROL; THERMAL REEQUILIBRATION; TRAINING ALGORITHM;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FOOD PROCESSING; HEATING; HIGH PRESSURE; OPTIMIZATION; PERFORMANCE ASSESSMENT; TRAINING;

EID: 33947276150     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2007.01.005     Document Type: Article

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