搜索资源列表
ELM智能算法
- ELM智能算法的分类与回归的一个例子
elm
- 黄广斌等人提出的极限学习机理论，使用 Matlab 实现，可用于回归和分类问题!-Huangguang Bin, who proposed the theory of extreme learning machine, using Matlab to achieve, can be used for regression and classification problems!
Weighted-ELM
- 是一种学习机方法，适合做分类和回归，并且可以给数据加权，也就是可以引入概念漂移的概念，适合做预测-Classification and Regression
Python-ELM-master
- 用于机器学习中分类和回归的程序，并且使用python编写的-Regression and Classification
elm_kernel
- 不同的核函数的elm,既包括分类算法，也包括回归，十分的全面，运行无错误！-Elm different kernel functions, including both classification algorithms, including regression, very comprehensive and error-free operation!
elm1
- 基于matlab平台实现elm（极速学习机）算法，进行分类预测或回归-Based on matlab platform elm (speed learning machine) algorithm to classify predict or return
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 .)
Python-ELM-master
- 极限学习机的 python实现，可用于回归，多分类问题等。(The python coad of the extreme learning machine which can be used for regression, multiple classification problems, etc.)
ELM
- ELM回归与分类算法，用于近红外光谱或拉曼光谱数据处理(ELM regression and classification algorithms are used for near infrared or Raman spectral data processing)
OS-ELM
- 在线ELM的MATLAB代码，可用于目标跟踪，回归分析预测、以及分类。(The MATLAB code of online ELM can be used for target tracking, regression analysis, prediction, and classification.)
elm_train_predict
- 基础分类和回归实验，点击解压，输入训练和测试数据(Basic classification and prediction experiment)
SaDE-ELM
- 本代码主要是实现超限学习机，以达到在机器学习领域的快速回归(This code is mainly to achieve overrun learning machine, in order to achieve rapid regression in machine learning field.)