计算机工程与应用2013，Vol.49Issue(5)：254-257,4.DOI:10.3778/j.issn.1002-8331.1108-0350
基于遗传小波神经网络的白酒识别电子鼻
Chinese liquors identification electronic nose based on GA-WNN
摘要
Abstract
The classification model of BP neural networks is put forward, which using electronic nose to acquire odor datum from four kinds of Chinese Liquors, aims at the research of Chinese liquors identification electronic nose. But the BP algorithm of neural network commonly used has several disadvantages, such as the slow convergence speed, the optimization procedure getting easily stacked into the minimal value locally and network parameter must be decided by experiment and experience. This paper designs a recognition classifier of Genetic Algorithm-Wavelet Neural Network (GA-WNN), which has global optimization capability of GA, non-linear approximation ability of wavelet and self-learning characteristic of neural network. The simulation results prove that it can improve the recognition accuracy and convergence rate, and the GA-WNN algorithm can be used in Chinese liquors identification electronic nose.关键词
白酒识别/电子鼻/小波神经网络/遗传算法Key words
Chinese liquors identification/electronic nose/wavelet neural networks/genetic algorithm分类
轻工纺织引用本文复制引用
周红标,张新荣,耿忠华..基于遗传小波神经网络的白酒识别电子鼻[J].计算机工程与应用,2013,49(5):254-257,4.基金项目
江苏省自然科学基金(No.08KJA460001) （No.08KJA460001）
淮安市科技支撑项目(No.SN1045) （No.SN1045）
淮阴工学院科技项目(No.HGC1009). （No.HGC1009）
