搜索资源列表
arima
- ARMA,AR,MA,ARIMA等实现自回归预测、齐次稳定回归预测算法-ARMA, AR, MA, ARIMA, etc. to achieve autoregressive prediction, homogeneous and stable regression prediction algorithm
Python-ELM-master
- 经典的ELM算法，适合做小样本回归预测，亲测有用，亲测有效-The classical ELM algorithm, suitable for small sample regression, pro test useful, pro test effective
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
149373c
- pso-svm利用回归预测分析最佳的参数进行SVM网络训练 分析结果- pso-svm Analysis of the best use of parametric regression prediction network training SVM analysis results
short-term-electrical-load
- 电力负荷预测，多变量时间序列线性回归预测方法-the research of local linear model of short-term electrical load on multivariate time series
svm_series
- 用python实现的SVM回归预测的程序，通过Anaconda实现对机器学习包sklearn的调用。-SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.
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
svm-regression-to-predicte
- 案例14 SVM神经网络的回归预测分析 -上证开盘指数预测-Case 14 SVM regression neural network predictive analysis - Shanghai Composite Index opened forecast
333
- 算法流程：原始数据提取-模糊信息粒化-粒化后的原始数据-利用SVM对粒化数据进行回归预测-给出上证指数变化趋势和变化空间-验证预测结果-Algorithmic flow: Raw data extraction- Fuzzy information granulation- Granulated raw data- Regression prediction of granulated data using SVM- Change trend and change space of the Sh
svrexample
- 这是一个支持向量机回归预测的代码，适合于初学者来体验svr的回归能力- U8FD9 u662F u4E00 u4E2A u652F u6301 u5411 u91CF u673A u56DE u5F52 u9884 u6D4B u7684 u4EE3 u7801 uFF0C u9002 u5408 u4E8E u521D u5B66 u8005 u6765 u4F53 U9A8Csvr u7684 u56DE u5F52 u80FD
FZCS0
- 用matlab做的多元线形回归预测的小程序,抱愧数据,可以运行,-Matlab do multivariate linear regression prediction of small procedures, be data, you can run,
aynrun
- 用matlab做的多元线形回归预测的小程序,抱愧数据,可以运行,-Matlab do multivariate linear regression prediction of small procedures, be data, you can run,
IOJLJ192
- 用matlab做的多元线形回归预测的小程序,抱愧数据,可以运行,-Matlab do multivariate linear regression prediction of small procedures, be data, you can run,
ARMA
- ARMA 模型（Auto-Regressive and Moving Average Model）是研究时间序列的重要方法，由自回归模型（简称AR模型）与滑动平均模型（简称MA模型）为基础“混合”构成。在市场研究中常用于长期追踪资料的研究，如：Panel研究中，用于消费行为模式变迁研究；在零售研究中，用于具有季节变动特征的销售量、市场规模的预测等。(ARMA model is an important method for studying time series. It is composed
ELM
- 基于matlab的ELM实现，对函数进行拟合，可以用来学习了解ELM。(ELM based on the matlab .)
mvrvm_matlab
- rvm回归预测 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。(Rvm regression prediction)
SVR_Lib
- 运用支持向量进行回归预测，包含对数据的训练和回归值得预测(The use of support vector regression prediction, including training and regression of data, is worth prediction)
chapter16
- 支持向量机回归实例应用，回归预测模型，多输入对单输出(svr case application, regression prediction model, multiple input to single output)
MatlabRegressionCode
- lssvm回归预测分析，用各种核函数进行参数调优过程，使获得最佳的预测结果。(Lssvm regression prediction analysis, with a variety of kernel functions for parameter tuning process, so that the best predictions.)
rhglyssion_small
- 用matlab做的多元线形回归预测的小程序,抱愧数据,可以运行,(Matlab do multivariate linear regression prediction of small procedures, be data, you can run,)