搜索资源列表
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.
svm
- svm的预测程序非常好用，包含好喝哦呵哦额和哦几个功能。-svm forecasting process is very easy to use, including the amount and drink Ohe oh oh several functions.
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
SVM-and-ANN-data-anlysis-example_1
- SVM神经网络的数据分类预测——1,SVM神经网络的数据分类预测——1-SVM and ANN data anlysis example_1
SVM-regression
- 对于大盘指数的有效预测可以为从整体上观测股市的变化提供强有力的信息，所以对于上证指数的预测具有很大意义。本代码用Matlab对1990.12.20-2009.8.19-每天的开盘指数进行支持向量机回归分析，拟合效果较好。-For effectively predict the market index can provide a strong message to the observed changes in the stock market as a whole, so the foreca
SVM
- 基于SVM的回归预测——上证指数开盘指数预测,包括数据的提取和预处理，选择回归预测分析最佳的SVM参数c&g，利用回归预测分析最佳的参数进行SVM网络训练-SVM-Based Forecasting
SVM
- 交叉验证法寻优的支持向量机突水预测模型，带突水原始数据库-Support vector machine prediction model of water inrush optimization of cross-validation with water inrush original
svm
- 支持向量机python实现算法，回归、分类、预测-surpport vector machion
svm-trading
- 本代码是svm支持量化机在量化投资上的使用，采用了上证指数来做预测，和采用螺纹期货来做交易策略-This code is used to quantify the SVM support for quantitative investment in the use of the Shanghai index to do the forecast, and the use of thread futures to do trading strategies
svm
- SVM神经网络的回归预测分析 -上证指数开盘指数预测 -Regression SVM neural network predictive analysis - Shanghai Composite Index opened Index Forecast
svm
- 利用林智仁教授的libsvm工具箱实现支持向量回归预测的例子，包括训练及预测过程-Professor Lin Zhiren use of libsvm toolbox support vector regression prediction examples, including training and prediction process
svm
- SVM神经网络的数据分类预测-葡萄酒种类识别，能够很好地预测葡萄酒种类。-SVM neural network data classification prediction- wine species identification, can be a good predictor of wine types.
SVM-timeseries
- 基于SVM的时序序列预测，用python实现，内附测试数据，方便可用。-SVM prediction based on a timing sequence with python to achieve, enclosing the test data to facilitate available.