Intelligent Estimation of the Canola Oil Stability Using Artificial Neural Networks

Food and Bioprocess Technology

Volumn 5, Issue 2, 2012, Pages 533-540

  Dehghani, Amir Ahmad ^a   Mohammadi, Zahra Beig ^a   Maghsoudlou, Yahya ^a   Mahoonak, Alireza Sadeghi ^a  

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

Author keywords

Artificial neural network; Canola oil; Multi layer perceptron network; Oils stability; Radial basis function neural network

Indexed keywords

ACID CONTENT; ARTIFICIAL NEURAL NETWORK; CANOLA OIL; DEPENDENT VARIABLES; EXPERIMENTAL DATA; INDEPENDENT VARIABLES; INTELLIGENT ESTIMATION; MULTI-LAYER PERCEPTRON NETWORKS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; OXIDATIVE STABILITY; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; REGRESSION MODEL; STORAGE TIME;

OXIDATION RESISTANCE; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

NEURAL NETWORKS;

BRASSICA NAPUS VAR. NAPUS;

EID: 84856585068     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-009-0314-8     Document Type: Article

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