搜索资源列表
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,)
matlab
- 可以用这个程序进行灰色预测及回归分析,以确认某一目标的发展趋势。(This procedure can be used to carry out grey prediction and regression analysis to confirm the development trend of a certain goal.)
GRNN处理时间序列
- 用广义回归神经网络预测时间序列数据的MATLAB源代码(MATLAB source code for predicting time series data using generalized regression neural network)
MATLAB神经网络30个案例分析
- 神经网络,回归预测,30个典型案例,回归模型,数据驱动(Neural network, regression prediction, 30 typical cases, regression model, data-driven)
GPR程序
- 基于高斯过程回归的锂电池充放电性能的预测(Prediction of Charge and Discharge Performance of Lithium Batteries Based on Gaussian Process Regression)
pls
- 偏最小二乘回归,里边有若干相关因素,分别输入历史数据,并与待预测量进行偏最小二乘回归,拟合出方程,从而进行预测(Partial least squares regression)
LinearRegression
- 使用python语言,借助sklearn库实现了多元线性回归的训练和预测(The training and prediction of multiple linear regression are realized by using Python language and sklearn Library)
8f021e933b0e012b0114f434883f1d5e
- arma模型预测的matlab代码 很完整 有注释 适合新人(ARMA model prediction matlab code is complete, annotated, suitable for newcomers)
LIBSVM
- LIBSVM工具箱,提供支持向量机分类及回归预测(LIBSVM Toolbox provides support vector machine classification recognition and regression prediction)