搜索资源列表
ELM
- 基于matlab的极速学习机ELM的分类和回归算法-The speed of learning machine based on matlab classification and regression algorithm ELM
elm
- 使用matlab 实现ELM算法，可以用来分类的回归。
ELM
- ELM极限学习源码，针对于极限学习，希望帮助到你。
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 .)
ELM
- elm 训练函数 调整参数可用于分类和预测，matlab语言编写，已调试(elm training function)
ELM
- elm 极限学习机 无内核函数，黄广斌教授的源码。(elm without kernel function, professor huang guangbin's source code.)
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)
ELM-java
- 极限学习机(ELM)在java下的实现算法，此为eclipse项目，已经添加好可用的jar包，调整文件路径后可以直接运行,(PS.极限学习机算法为elm官网所提供)(Extreme learning machine (ELM) in Java implementation algorithm, this is the eclipse project, has added a good jar package, adjust the file path can be directly run (P
ELM
- MATLAB版极限学习机，自带训练集与测试集，可运行。(MATLAB version of the ELM, with its own data set)
OS-ELM
- 是一种在线序列OS-ELM算法的MATLAB程序，可参考论文A Fast and Accurate Online Sequential Learning。(matlab codes for OS-ELM(Online Sequential ELM))
NSGA2-ELM
- 以NSGA2算法作为学习算法优化ELM神经网络的权值，满足误差小、权值范围小的双目标(NSGA2 algorithm is used as a learning algorithm to optimize the weights of ELM neural network, and it meets the double objective with small error and small weight range)
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代码
- 采用极限学习机即（ELM）进行回归和预测的MATLAB代码, 亲测可用，只需要替换自己的数据即可.(Extreme learning machine (ELM) is used for regression and prediction with MATLAB code. You need only use your own data to represent the data in the code.)
elm
- elm带有解释的程序，请在其他程序中调用运行。(Elm program has the explaination. Please call it in other programs.)
5-ELM
- 极限学习机（ELM）的matlab实现，对一组数据进行回归的例子(Extreme learning machine (ELM) matlab implementation, for a group of data regression examples)
elm
- 极限学习机ELM代码，matlab编写的，可以直接调用。(ELM code, matlab written,)
ELM分类器
- ELM是基于深度学习的分类器，运算速度快。 在B_data.m里导入待分类矩阵B.mat（1-n列为特征值，n列为标签）；运行B_data.m；再打开fuzzyEn_main.m并运行即可。(ELM is based on depth learning classifier, computing speed. In B_data.m imported matrix to be classified B.mat (1-n as eigenvalues, n as a label); Run B
B-ELM
- 黄广斌老师提出的算法，内附介绍该算法的文章(matlab codes for B-ELM)
ELM
- 极限学习机(Extreme Learning Machine) ELM，是由黄广斌提出来的求解单隐层神经网络的算法(The matlab program of ELM developed by professor Huang)
基本ELM
- ELM的试验例子,可用于分类拟合，与其他SLNF网络进行对比使用(The experimental example of ELM can be used for classification fitting,Compare with other SLNF networks)