食品科学 ›› 2004, Vol. 25 ›› Issue (2): 39-42.
• 基础研究 • 上一篇 下一篇
赵杰文, 刘木华, 潘胤飞, 邹小波
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ZHAO Jie-Wen, LIU Mu-Hua, PAN Yin-Fei, ZOU Xiao-Bo
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摘要: 本文研究了用遗传算法优化BP和RBF两种神经网络的方法来建立对“好”、“坏”苹果气味识别的分类模型。形容结果表明,对“好”、“坏”苹果气味进行分类时,遗传算法优化BP和RBF神经网络建立的分类模型判别准确率均大于83%。
关键词: 遗传算法, 神经网络, 电子鼻, 苹果气味
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
赵杰文, 刘木华, 潘胤飞, 邹小波. 遗传算法优化BP及RBF神经网络用于苹果气味分类[J]. 食品科学, 2004, 25(2): 39-42.
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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