搜索资源列表
classification-for-SVM
- 对数据进行SVM处理，最后以进行定量及分类处理，对得到的预测和训练的数值进行RME等的计算-The data processing, and end with SVM quantitative and classification to get treatment, the numerical prediction and training for calculation of RME etc.
SVM-PREDICT
- SVM神经网络的信息粒化时序回归预测----上证指数开盘指数变化趋势和变化空间预测-Information Granular SVM neural network time series regression of the Shanghai Composite Index opened---- Index forecast trends and changes in space
svm_matlab_gui
- 支持向量机matlab工具箱（含资料及gui模式）用于分类和回归预测-SVM matlab toolbox (including information and gui mode) for classification and regression
SVM
- SVM神经网络的回归预测分析---上证开盘指数预测-SVM regression neural network analysis of evidence on the opening index forecast---
LS-SVM
- 基于LS-SVM的一个预测代码。对实际数值进行预测得到图像-LS-SVM based on a prediction code. Predicted value for the actual image
SVM-nur-network-regression
- SVM神经网络的信息粒化时序回归预测 SVM神经网络的信息粒化时序回归预测----上证指数开盘指数变化趋势和变化空间预测 -svm nur network regression
SVM
- 支持向量机来分析数据，并通过建立向量机来预测数据的趋势-Support vector machine to analyze data and predict trends in the data
SVM-regression-
- SVM神经网络的回归预测分析---上证开盘指数预测-SVM regression neural network forecast analysis- the Shanghai opening price index prediction
svm-good
- SVM神经网络的回归预测分析---上证开盘指数预测-SVM Regression analysis of the neural network--- permit opening index forecast
svm
- SVM 內附範例 svm的信息粒化时序回归预测——上证指数开盘指数变化趋势和变化空间预测-svm matlab
SVM
- SVM回归分析，包括了模型的建立以及数据的预测-SVM regression analysis, including modeling and prediction data
SVM
- 使用支持向量机算法对二分类问题进行预测，实现大数据分析的目标。(Support vector machine algorithm is used to predict the two classification problem, and achieve the goal of large data analysis.)
SVM
- 先实用熵权法对建模参数进行权重分析，在用svm算法进行训练预测(Firstly, the weights of the parameters are analyzed by entropy weight method, and the training is predicted by SVM algorithm)
SVM神经网络的数据分类预测-葡萄酒种类识别
- SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification prediction - wine type identification)
SVM神经网络的信息粒化时序回归预测
- SVM神经网络的信息粒化时序回归预测,人工智能算法(Time series regression prediction of information granulation based on SVM neural network)
SVM
- 回归分析，该支持向量机算法可用于预测，电力负荷、风力发电预测等(Regression analysis, the support vector machine algorithm can be used to forecast the power load, wind power prediction)
LS-SVM
- lssvm用于状态分类和预测，主要应用于信号处理以及智能算法等领域(LSSVM is used for state classification and prediction)
SVM神经网络的数据分类预测
- SVM神经网络的数据分类预测-葡萄酒种类识别(SVM for predicting the kind of wine)
SVM神经网络的回归预测分析---上证开盘指数预测
- SVM对数据训练，对数据处理预测分析，令可以作为分类的一种重要方法。(SVM to data training, to data processing forecast analysis.Order is an important method of classification.)
pso-svm one output
- 实现多输入单输出的预测功能，预测精度高，程序操作简单，易于修改应用。(The prediction function of multi input and single output is realized. The prediction accuracy is high, the program operation is simple, and it is easy to modify the application.)