搜索资源列表
SVM-classification-forecasting
- 使用支持向量机进行数据分类的预测，文件给出了预测程序的源代码。-SVM prediction using data classification, document gives a prediction program source code.
SVM-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
svm
- 基于SVM的数据分类预测——意大利葡萄酒种类识别，matlab语言写的- Data classification based on SVM prediction- Italian wine species identification, matlab language used to write
SVM-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
SVM-regression
- 基于SVM的回归预测算法，用于开始学习支持向量机，详细，简单，具体-SVM regression prediction algorithm based on support vector machines for start learning, detailed, simple, specific
SVM-regression-theory-and-control-
- 支持向量机回归理论与神经网络等非线性回归理论相比具有许多独特的优点有线性回归和非线性回归,其模型的选 择包括核的选择、容量控制以及损失函数的选择.在控制方面的研究包括非线性 时间序列 的预测及应用、系统辨识以及优化控制和学习控制等方面的研究-Support vector machine (SVM) regression theory and neural network has many unique advantages such as nonlinear regression theory
SVM
- SVM的SMO算法实现，svm_train为训练函数，svm_predict为预测函数，按说明输入参数即可-The SMO SVM algorithm, svm_train of the training function, svm_predict to predict function, follow the instructions to input parameters
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
The-code-for-SVM-model
- 采用支持向量机算法进行股市回归预测分析的程序，本人亲自尝试，可以正常使用。对于使用SVM算法的同学很有帮助！-Using support vector machine algorithm to predict the stock market regression analysis procedures, I personally try to be normal. For SVM algorithm helps the students!
svm
- 应用支持向量机算法进行数据处理，预测建模。-Application of support vector machines for data processing, predictive modeling.
SVM-Toolbox
- SVM通用工具包，用于分类预测。附使用说明和一个测试例子。-SVM common toolkit for classification and prediction. Attached instructions and a test case.
SVM-output
- SVM输出预测结果源代码，用matlab语言编写的，适用于分类及相关问题的分析-SVM output prediction results source code, written with matlab language, suitable for classification and analysis of the related problem
data-classification-by-SVM-
- 使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。-Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.
SVM
- 基于matlab的支持向量机svm的源代码,可以实现训练及预测的一些基本功能。-Based on support vector machine svm matlab source code, you can achieve some of the basic functions of training and predictable.
An-example-of--SVM
- 基于SVM的数据分类预测 -意大利葡萄酒种类识别-SVM-based data classification and prediction - Italian wines Recognition
SVM
- MATLAB中的SVM源码，用于回归预测，需要的可以下载下-The SVM MATLAB source code for regression forecasting, need can be downloaded below to see the exhibitions
SVM
- MAtlab SVM神经网络的信息粒化时序回归预测-Information granulation timing SVM neural network regression prediction
SVM-predict
- 一个matlab例程，基于SVM的信息粒化时序回归预测demo，实现了对上证开盘指数变化趋势和变化空间预测- A matlab routine, regression forecasting demo SVM-based information granulated timing to achieve the opening of the Shanghai index trends and changes in spatial prediction
SVM
- 基于支持向量机的对于上证指数的时间序列的预测，附有相关的论文期刊-Support vector machine for forecasting time series of Shanghai Composite Index and related papers
svm
- 支持向量机的仿真程序简单案例分析（分类和预测）模式识别-SVM simulation program simple case analysis (classification and prediction) Pattern Recognition