搜索资源列表
LSSVM
- LSSVM，生产过程中4-CBA的PTA软测量 -LSSVM, the production process of 4-CBA Soft Sensor PTA
LSSVM-(2)
- 最小二乘法支持向量机预测,自己编的的，可以运行，希望能改进。-least sqare support vector machine for prediction
LSSVM
- 为LSSVM源程序，请大家认真看一下，很不错的源程序，很实用-This is LSSVM
lssvm_matlab
- 用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用-achieve the lssvm regression based on time series using matlab
MGH
- 对农产品的销量进行预测，首先是归一化处理，再用LSSVM进行预测-To predict agricultural product sales, the first is normalized, and then LSSVM forecast
PSO-LSSVM
- C语言代码，用于粒子群（PSO）优化LSSVM，很有用的代码-C language code for Particle Swarm (PSO) to optimize LSSVM, very useful code
LSSVM-CODE
- 利用LSSVM的分类算法中多类分类算法程序，对企业的安全绩效实现评估。-using LSSVM classification algorithmmulti-class classification algorithm procedures to evaluate the security performance of a company
LSSVMlabv1_8_R2009b_R2011a
- lssvm 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
lssvm
- SVM对时间序列的预测，很实用，改变数据可直接使用。-SVM prediction time series, it is practical to change the data can be used directly.
LS_SVMlab
- 解决LSSVM的相关问题，可以用于数据集的分类和回归处理。-LSSVM solve related problems, and could be used for data collection and regression.
LSSVMlabv1_8_R2009b_R2011a
- matlab LSSVM matlab最小二乘支持向量机工具箱-matlab LSSVM
4
- 最小二乘支持向量机回归分析源代码,LSSVM-Least squares support vector machine regression analysis source code
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机工具包,可以应用于回归和分类，也可进行预测-LSSVM Kit
LSSVMlabv1_8_R2009b_R2011a
- lssvm插件，包含用户手册，在matlab上使用，可以进行分类和线性回归分析。(Lssvm plugin, contains the user manual, used in matlab, can be classified and linear regression analysis.)
LSSVMlabv1_8
- 最小二乘支持向量机matlab工具箱，可用于分类回归预测等。(Least squares support vector machine)
lsvm
- lssvm matlab codes,support vector machine
psolssvm
- pso优化lssvm工具包,其中包括两个函数(PSO optimizes the LSSVM toolkit, which includes two functions)
00004xiaobobaonengliangfenxi(1)
- The classifier based on LSSVM is used for three classifications of iris, and 4 features are classified by 3 categories. The accuracy rate is over 90%.
LS-SVMlab1.5
- 最小二乘法向量机lssvm的matlab的编程程序，可用于预测模型，温度补偿等(Least squares vector machine LSSVM matlab programming procedures, can be used for prediction models, temperature compensation, etc.)
lssvm工具箱
- LSSVM分类，LSSVM和SVM的区别就在于，LSSVM把原方法的不等式约束变为等式约束，从而大大方便了Lagrange乘子alpha的求解，原问题是QP问题，而在LSSVM中则是一个解线性方程组的问题。