The Application of Genetic Algorithm to Optimizing Neural Network for Classifying Apple’s Scent

FOOD SCIENCE ›› 2004, Vol. 25 ›› Issue (2): 39-42.

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The Application of Genetic Algorithm to Optimizing Neural Network for Classifying Apple’s Scent

ZHAO Jie-Wen, LIU Mu-Hua, PAN Yin-Fei, ZOU Xiao-Bo

School of Biological and Environmental Engineering, Jiangsu University, Zhenjiang

Online:2004-02-15 Published:2011-10-24

Abstract

Abstract: The application of Genetic Algorithms(GA) to optimizing Neural Networks(NN) for classifying apple’s scent wasstudied in this paper. 54 apples were brought from supermarket for experiments the data of apple’s scent was collected usingelectronic nose. The classifying models were obtained by using GA to optimizing backpropagation networks and radial basisnetworks. The results indicate that accuracy of obtained classifying model were than 83%.

Key words: genetic algorithm, neural network, optimization

ZHAO Jie-Wen, LIU Mu-Hua, PAN Yin-Fei, ZOU Xiao-Bo. The Application of Genetic Algorithm to Optimizing Neural Network for Classifying Apple’s Scent[J]. FOOD SCIENCE, 2004, 25(2): 39-42.

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The Application of Genetic Algorithm to Optimizing Neural Network for Classifying Apple’s Scent

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