神经网络在非石棉垫片分类中的研究

摘要

A method of classification by using neural network to the known 15 kinds of the non -asbestos gaskets of formula data was proposed in this paper. By using the PNN( probabilistic neuralnetwork) ,LVQ( learning vector quantization) neural network and SOM ( self - organizing feature map) neural network respectively to classify the non - asbestos gaskets. The results indicate that the PNN neural network and LVQ neural network method based on the data that provided in the paper both can effectively classify,while SOM neural network can not classify them ideally.%提出运用神经网络的分类方法来对已知的15种非石棉垫片的配方数据进行分类.分别运用神经网络中的PNN,LVQ和SOM神经网络对其进行分类.结果表明,PNN神经网络和LVQ神经网络在所提供的数据中均能进行有效的分类,而SOM的分类结果则不太理想.