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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
wineceshi
- SVM神经网络的数据分类预测----意大利葡萄酒种类识别-Data classification SVM neural network forecasting---- Italian wine species identification
16
- matlab SVM神经网络的数据分类预测-葡萄酒种类识别-Data classification matlab SVM neural network prediction Wine species identification
Neural-network-and-SVM-courseware
- 讲述了神经网络的基础知识，顺利过渡到支持向量机这种特殊的机器学习工具。通过对本课程的学习，会充分了解到支持向量机与神经网络的区别及联系。-Tells the story of the basic knowledge of neural network, a smooth transition to the support vector machine (SVM) this kind of special machine tools. By learning this course, you wi
SVM
- 支持向量机神经网络的实例应用,可以正常运行-SVM neural network application examples
SVMFIT
- SVM神经网络的回归预测分析---上证指数开盘指数预测 -SVM regression neural network predictive analysis--- Shanghai Composite Index opened Index Forecast
SOMShenJingWangluoFenLei
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能 绝对可以无错运行-SVM neural network classifier parameter optimization performance improvement - how to better the absolute can be error free operation
ElmanShenJingWangluoYuCe
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能-SVM neural network classifier parameter optimization performance improvement- how the better
SVM3OUT
- SVM神经网络的系统分类算法，修改可用，运行环境为Matlab。-System classification algorithm, SVM neural network to modify the available, operating environment for the Matlab.
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
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
python-quantitive
- python 分类算法量化投资 SVM 神经网络算法 沪深300指数-python classification algorithm quantitative investment
1428369chapter14
- 数据预处理,将原始数据进行归一化,SVM神经网络的回归预测分析上证指数开盘指数预测 -Data preprocessing, the raw data is normalized, the SVM regression analysis to predict the Shanghai Composite Index opened Neural Network Index Forecast
SVM
- 支持向量机神经网络的信息粒化时序回归预测代码案列，代码易于修改-Support Vector Machines Neural Network Information granulated series regression predictive code text column, easy to modify the code
wine_SVM
- 对白酒的大数据进行SVM神经网络的学习和分类，可由此衍生很多神经网络学习和分类的代码。-SVM neural network learning and classification of large data of liquor can be derived a lot of neural network learning and classification of the code.
SVM
- 使用神经网络svm实现一个函数的拟合，拟合的效果很不错，可以很直观地从图中看出。-Using a neural network svm achieve a fitting function, the effect is very good fit, it can be visually seen the figure.
SVM
- 使用神经网络中的SVM实现函数的分类，原函数中还加了噪声，分类的效果不错。-SVM neural network to classify the function, the original function also added a noise effect, a good classification.
SVM
- 使用SVM（支持向量机）进行函数拟合，神经网络-Using SVM (support vector machine) for function fitting, neural network
data-mining
- 常用的一些数据挖掘算法，包括Apriori,SVM,神经网络，遗传算法，K-means。-some commonly used data-mining algorithms,including Apriori,SVM,Neural Network，Genetic algorithm，K-means