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SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
VAR
- 时域模态分析方法中的多元自回归模型，用于识别结构的模态参数。-Multivariate autoregressive model of time domain modal analysis method, is used to identify structural modal parameters.
2d-clustered-se
- 2维度聚类标准误的计算代码，可用于多类回归模型-2 dimensional clustering standard errors of computing code, can be used for many types of regression models
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
JITPLS
- 自己编写的Jist-in-time PLS,利用与待估计样本最相似的若干历史样本，建立PLS回归模型，改善模型泛化能力，包含数据，直接运行，亲测可用。-I have written Jist-in-time PLS, utilization and estimated to be most similar to sample a number of historical samples, PLS regression model to establish and improve the mode
GPR
- 利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。-Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
python数据分析之金融欺诈行为检测
- 用python写的一个关于金融欺诈行为检测的数据分析程序，用的是回归预测模型(This is a data anlysis program for the detection of financial fraud, based on logistic regression model.)
空间回归
- 检验数据在空间上分布是否具有规律性，并建立空间回归模型(The spatial distribution of the test data is regular, and the spatial regression model is established)
regress
- 一个xgboost实现的回归模型预测，数据集来源于kaggle的taxi竞赛(Regression model prediction based on a xgboost implementation)
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)
GWR4操作说明
- GWR能够实现地理加权回归计算，里面有GWR4操作说明，虽然是英文，但有图片介绍，很容易理解，是GWR模型入门的好工具，适合经济学、数据挖掘等人员使用(GWR can realize geographically weighted regression calculation, including GWR4 operation instructions. Although it is in English, it has pictures to introduce, and is easy to
linear regression
- 线性回归模型与诊断 数据说明：本数据是一份汽车贷款数据(linear regression lesson)