支持向量机非线性回归通用matlab程序 支持向量机和BP神经网络非线性回归之比较研究-svm nonlinear regression procedures common Matlab support vector machines and artificial neural networks to nonlinear In the Comparative Study

支持向量机(Support Vector Machine)是Cortes和Vapnik于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-svm (Support Vector Machine) is Cortes and Vapnik in 1995, first put forward, which in the settlement of a small sample, nonlinear and high di

非线性svm实现样本点的分类，并输出图像，输入数据为矩阵-nonlinear svm to achieve a classification of the sample points, and the output image, the input data matrix

基于模糊神经的支持向量机非线性系统控制，利用模糊神经svm对非线性系统进行控制-Support vector machines based neuro-fuzzy control of nonlinear systems