Comparative study of response surface methodology, artificial neural network and genetic algorithms for optimization of soybean hydration

Food Technology and Biotechnology

Volumn 48, Issue 1, 2010, Pages 11-18

  Gulati, Tushar ^a   Chakrabarti, Mainak ^a   Singh, Anshu ^a   Duvuuri, Muralidhar ^a   Banerjee, Rintu ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network (ANN); Genetic algorithms (GA); Response surface methodology (RSM); Soybean soaking

Indexed keywords

COMPARATIVE STUDIES; HYBRID ARTIFICIAL NEURAL NETWORK; MEAN SQUARED ERROR; NEURAL NETWORK MODEL; REGRESSION COEFFICIENT; RESPONSE SURFACE METHODOLOGY; SOAKING CONDITIONS; SOYBEAN SOAKING;

HYDRATION; NEURAL NETWORKS; OPTIMIZATION; PROTEINS; SURFACE PROPERTIES;

GENETIC ALGORITHMS;

GLYCINE MAX;

EID: 77955015985     PISSN: 13309862     EISSN: 13342606     Source Type: Journal    
DOI: None     Document Type: Article

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