搜索资源列表
ClassicalELM
- 通过极限学习机的相关算法，实现数据的预测、回归、分类，从而有利益数据的处理-Processed through the relevant algorithm ELM achieve prediction data, regression, classification, and thus interest data
mvrvm_c
- 相关向量机RVM用于预测和分类,含有归一化，训练和测试，可以多变量输出，解决海瑟矩阵问题-RVM relevance vector machine for prediction and classification, containing normalization, training and testing, can be more variable output matrix problem solving Heather
rvm-wind-power-forecast
- 相关向量机用于风电场功率预测和各种大数据分类问题，单变量输出-Relevance vector machine for a wind farm power prediction and a variety of large data classification problem, univariate output
ELM
- 极端学习机分类、预测matlab函数，亲测可用，里面还有测试数据-ELM classification and regression source code, enabling prediction function
bp
- 人工神经网络的源代码程序，可用于分类或者预测研究中-code for ANN
demo_bayesclass
- 一个贝叶斯分类器的实际应用，可以有效地进行训练和预测-A practical application of Bayesian classifier can effectively carry out training and prediction
lissvm
- 最小支持向量机的预测方法 很有效果 我做分类实验一直用这个代码-Support vector machine forecasting method is very effective I have been use this code to do classification experiment
chapter16
- 单层竞争神经网络的数据分类，患者癌症发病预测-Patients with single competition neural network data classification, cancer prediction
java_gbdt-master
- 机器学习算法-GBDT算法，也被称作GBRT算法，常用于各种分类和预测问题，能够取得不错的结果--GBDT Algorithm machine learning algorithm, also known as the GBDT algorithm, commonly used in a variety of classification and prediction problems, able to achieve good results
最小二乘支持向量机
- 最小二乘支持向量机的调用函数，可用于分类或者预测，只需修改几个参数，即可执行。
lssvmMATLAB
- 最小二乘支持向量机，采用matlab编写，可以直接使用，SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.
RF
- 随机森林负荷预测，随机森林是一种分类器，在负荷预测中的应用很少。-Random forests load forecasting，Random forests is a kind of classifier, rarely used in load forecasting
KS
- KS分类：利用欧式距离合理划分定标、预测样品，使定标样品具有代表性。-KS Category: Using the Euclidean distance rational division of calibration, sample predicted that a representative sample calibration.
randint
- 随机分类：划分定标、预测样品的一种方法。-Random Category: Fallen scaling, a method of forecasting sample.
Discriminant-analysis
- 通过训练样本的光谱数据，对样本进行分类，并预测-Training samples by spectroscopic data, the sample classification and prediction
GP
- 用matlab编写的高斯过程的算法，常用于预测和分类-Algorithm using matlab Gaussian process, commonly used in the prediction and classification
LSRBF
- 一种常见的RBF神经网络matlab程序，对于神经网络预测，分类有参考价值。-A common RBF neural network matlab program for neural network prediction, classification reference value.
svm
- 支持向量机python实现算法，回归、分类、预测-surpport vector machion
Gaussian-process-regression
- 高斯过程回归及分类的代码，内容全，有实例，注释清晰。包括分类系列和预测回归系列，值得感兴趣的同学学习借鉴。-Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interest
pnqrsyxy
- 多元数据分析的主分量分析投影，使用大量的有限元法求解偏微分方程，有PMUSIC 校正前和校正后的比较，阐述了负荷预测的应用研究,可以实现模式识别领域的数据的分类及回归，能量熵的计算。- Principal component analysis of multivariate data analysis projection, Using a large number of finite element method to solve partial differential equations,