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PCA-BEL(ToolBox1.0)
- 又提供一基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM，BP-The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior perform
classify
- SVM的数据分类预测——意大利葡萄酒种类识别-SVM prediction data classification- Italian wines Recognition
ORP
- 支持向量机预测程序，实现氧化还原电位的预测-This program is based on SVM，used to the prediction of oxidation-reduction potential
SVMcgForRegress
- 支持向量机回归模型，可应用于经济、金融时间序列预测！-SVM Model
waveletsvm_longchuan
- 可以用于预测的小波分解下的支持向量回归机-wavelet svm for predict
AdaBoostL2SVR
- 支持向量机的混沌是假序列预测研究，支持最小二乘法的向量机-SVM is a false prediction of chaotic sequence, least squares support vector machine
fuheyuce
- 保定市短期负荷预测，分别使用SVM+蚂蚁优化和BP神经网络。-Baoding load forecasting, optimization and ant are using SVM+ BP neural network.
simpleSVM
- SVM分类器的训练以及分类预测。一个简单的例子说明机器学习中，SVM的分类以及简单的预测，训练的数据越大，预测越准确。-SVM classifier training and classification prediction
ceshi
- 支持向量机分类预测应用例子，大家可以-Support vector machine (SVM) classification forecasting
WineClass
- 基于SVM的数据分类预测——意大利葡萄酒种类识别,SVM网络预测,结果分析-SVM-based data classification prediction- Italian Wine type recognition, SVM network prediction results analysis
chapter15
- 基于SVM神经网络的信息化时间序列回归预测问题-Based on the SVM neural network informationization time series regression prediction problem
chapter14
- 用matlab实现的SVM算法的回归模拟和预测的源代码，可以嵌入自己开发的应用程序中，应用matlab的SVMlib工具库实现的-the complementation of regression of SVM algorithm using matlab
WineClass
- 基于SVM的数据分类预测 葡萄酒种类识别，代码经测试可用-SVM-based prediction data classification- identifying the type of wine, the code has been tested and is available
sh
- 基于SVM的回归预测分析——上证指数开盘指数预测.-SVM prediction based on regression analysis- the Shanghai Composite Index opened index forecast.
Wine-type-recognition
- SVM神经网络的数据分类预测-葡萄酒种类识别-Data classification and prediction SVM neural network- Wine type recognition
Syndrome-opening
- SVM神经网络的回归预测分析 -上证开盘指数预测-Regression Syndrome opening Index Forecast Forecast and Analysis - SVM neural network on
lssvmMATLAB
- 最小二乘支持向量机，采用matlab编写，可以直接使用，SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.
chapter29
- 支持向量机的回归拟合_混凝土抗压强度预测数据预测-Support vector machine (SVM) regression fitting _ forecast data to predict the compressive strength of concrete
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.
chapter15
- 基于SVM的数据分类预测—一种最基本遗传算法和粒子群算法对的支持向量机的参数的优化，再此基础上可以对算法进行改进-Data classification based on SVM prediction- one of the most basic genetic algorithm and particle swarm optimization (pso) algorithm, the optimization of the parameters of the support vector ma