中文说明： 支持向量机(SVM, Support Vector Machines)实际是近年来出现的一种先进的机器学习方法，它是重要的基于VC理论的创造性机器学习方法，是一种非常有潜力的分类技术 ，开辟了学习高维数据新的天地，可以替代多层感知机、RBF神经网络和多项式神经网络己有的学习算法，同时SVM方法在实际中有一些应用，如人脸检测、人脸识别、信号处理等。本代码主要功能是用SVM实现红酒种类的正确分类，在MATLAB环境中进行仿真达到较好的识别率
English Description：
Support vector machine (SVM, Support vector machines (SVM) is an advanced machine learning method in recent years. It is an important creative machine learning method based on VC theory. It is a very potential classification technology It can replace the existing learning algorithms of multi-layer perceptron, RBF neural network and polynomial neural network. At the same time, SVM method has some applications in practice, such as face detection, face recognition, signal processing and so on. The main function of this code is to use SVM to achieve the correct classification of red wine types, and to achieve a better recognition rate by simulation in Matlab environment