Modeling of wheat soaking using two artificial neural networks (MLP and RBF)

Journal of Food Engineering

Volumn 91, Issue 4, 2009, Pages 602-607

  Kashaninejad, M ^a   Dehghani, A A ^a   Kashiri, M ^a  

^a GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES   (Iran)

Author keywords

Artificial neural networks; Hydration kinetics; Moisture ratio; Soaking; Wheat kernel

Indexed keywords

ATTITUDE CONTROL; BACKPROPAGATION; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; GRAIN (AGRICULTURAL PRODUCT); HYDRATION; IMAGE SEGMENTATION; METROPOLITAN AREA NETWORKS; MOISTURE; RADIAL BASIS FUNCTION NETWORKS; VEGETATION; WIRELESS SENSOR NETWORKS;

ARTIFICIAL NEURAL NETWORKS; HYDRATION KINETICS; MOISTURE RATIO; SOAKING; WHEAT KERNEL;

NEURAL NETWORKS;

TRITICUM AESTIVUM;

EID: 58149154660     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2008.10.012     Document Type: Article

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