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arima.rar
- 在matlab的环境下实现了自回归移动平均模型（arima）,Matlab environment in the realization of the auto-regressive moving average model (arima)
ls-svm(matlab)
- svm 回归聚类函数包课用于支持向量机回归于分类-svm regression clustering function package
LS-SVMlab1[1].5
- 基于支持向量机回归的LS-SVM的matlab源码-Based on Support Vector Machine LS-SVM regression in matlab source
LS-SVM
- 主要叙述在matlab环境下熟悉对svm的操作以及svm的主要特性包括分类和回归-The main narrative in the matlab environment familiar with the operation of the SVM and the main features include SVM classification and regression
lssvm
- 一个简单的lssvm程序，用与最小二乘的回归预测-A simple ls svm program, with the least-squares regression
LS-SVMLab-v1.7(R2006a-R2009a)
- matlab中的ls-svm工具包，是最小二乘支持向量机算法，可用于解决非线性的回归问题。-ls-svm tool in the Matlab package, least squares support vector machine algorithm can be used to solve nonlinear regression problems.
LSSVM
- 最小二乘支持向量机工具箱1.6版。含稳健回归和贝叶斯推理，功能强大。-LS-SVM Toolbox version 1.6. With robust regression and Bayesian inference, and powerful.
Classification-and-regression
- 分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used for classification as well as
LSSVM
- 最小二乘支持向量机，用于进行函数的回归分析(Least squares-Support Vector Machine,Used for regression analysis of functions)