%0 Journal Article
%T Research and Application of ANN Method in Near Infrared Spectrum Modeling<br>人工神经网络在近红外光谱建模中的应用及研究现状
%A Li Zhi
%A lizhi
%A <br>王圣毫
%A 李智
%J 红外
%D 2012
%I 
%X The research and application of Artificial Neural Network (ANN) in the modeling of near infrared spectrum at home and abroad in recent years are overviewed. The ANN includes back-propagation network, radial-basis function network, support vector machine, self-organizing feature mapping, generalized regression neural network, probabilistic neural network, wavelet neural network, fuzzy network and neural network ensemble etc.. The basic operation principles, advantages and disadvantages of these networks are summarized. Finally, the trend of ANN in near infrared spectrum modeling in the future is proposed according to the development of ANN and the demands in industry and agriculture.
%K near infrared spectrum
%K BP network
%K RBF network
%K SVM
%K SOMF network
%K GRNN
%K PNN
%K Wavelet network
%K Fuzzy network
%K neural network ensemble<br>近红外光谱
%K 误差反向传播网络
%K 径向基网络
%K 支持向量机
%K 自组织特征映射
%K 网
%K 广义回归神经网络
%K 概率神经网络
%K 小波神经网络
%K 模糊神经网络
%K 集成神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=3723000AE493FCE650601982177048B1&aid=A48D345F7D4695E2F87902717A02359A&yid=99E9153A83D4CB11&vid=27746BCEEE58E9DC&iid=5D311CA918CA9A03&sid=9CF7A0430CBB2DFD&eid=23CCDDCD68FFCC2F&journal_id=1672-8785&journal_name=红外&referenced_num=0&reference_num=36