搜索资源列表
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)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机，功能（实现回归预测和分类）(least squares support vector machine)
naive_bayes
- 朴素贝叶斯算法分类及回归，附带训练集和测试集，可以评测正确率和输出预测文件(Classification and regression of naive Bayes algorithm, incidental training set and test set can evaluate the correct rate and output prediction file.)
Training
- 极限学习机的回归拟合——对比实验研究，改进BP算法的一些缺点，在ELM算法的基础上进行回归拟合预测。(Regression fitting Some shortcomings of BP algorithm are improved, and regression fitting prediction is carried out on the basis of ELM algorithm.)
GAM
- 主要利用R语言进行广义加法模型，进行回归预测(This paper mainly uses R language to carry on the generalized additive model, and carries on the regression forecast)
python-logistic
- 对因变量为0-1属性变量，利用Logistic算法，对其进行回归预测(The dependent variable is the 0-1 attribute variable, and the Logistic algorithm is used to predict it)
LSSVMlabv1_8
- 最小二乘支持向量机matlab工具箱，可用于分类回归预测等。(Least squares support vector machine)
GPstuff-4.7
- 高斯过程回归工具箱,其中包括高斯过程回归的基础例程，可用于分类，估计和预测(Gauss process regression toolbox, which includes the basic routines of Gauss process regression, can be used for classification, estimation and prediction)
案例14
- SVM神经网络的回归预测分析---上证指数开盘指数预测，matlab实现非线性回归预测(Regression prediction analysis of SVM neural network -- prediction of Shanghai Stock Index opening index and nonlinear regression prediction by MATLAB)
yuce
- 预测未来想要的数据，自己修改xo，自回归预测(Predict future data, modify XO, autoregressive prediction)
Matlab_时间预测
- 数据序列，非线性回归，很实用的例子，值得一试(Data sequence, nonlinear regression)
BP2
- 该程序为bp自回归预测，主要针对光伏/风电/水文等自回归(BP autoregressive prediction)
svm1
- 支持向量机回归的程序，实现预测，在matlab平台上实现模型训练和预测(Support vector machine regression program to realize prediction)