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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!
elm
- 这是基于极限学习机 可用于分类或者回归分析 -This is based on matlab ultimate learning machine can be used for classification or regression analysis
OS-ELM
- OS-ELM 分类器，极限学习机应用，可以用于机器视觉应用、图像理解等各方面。-OS-ELM classifier, Extreme Learning Machine Can be used in all aspects of machine vision applications, such as image understanding.
ELM
- 极限学习机，类似单层神经网络学习，可以用于稀疏表示中数据训练分类-extreme learning machine
SSELM-and-USELM
- 半监督核无监督极限学习机，用于半监督核无监督学习，比传统方法速度略快，且可以直接应用多分类问题-A semi-supervised nuclear unsupervised extreme learning machine, used for a semi-supervised kernel unsupervised learning, slightly faster than the traditional methods, and can direct application classif
Extreme-Learning-Machine
- 极限学习机，用于预测或分类,具有较好的实际应用效果。-Extreme Learning Machine, used to predict or classify
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.)
MATLAB ELM
- 几种改进极限学习机算法，可用于数据分类、故障诊断等(Several improved limit learning algorithm, can be used for data classification, fault diagnosis, etc.)
ELM
- 用于使用极限学习机算法进行分类问题,采用MATLAB编写，适合论文写作(Classification algorithms are used for the use of the extreme learning machine algorithm)
ELM_MatlabClass
- 极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。该程序是用于极限学习机分类。(Extreme learning machine only need to set the number of hidden nodes of the network, the algorithm execution process does not need to adjust the input weight
samples
- 这个是基于最初始的极限学习机的例子，分别用于回归和分类(This is an example based on the initial limit learning machine, which is used for regression and classification, respectively)
ELM_linbo.jin
- 极限学习机的代码，机器学习，可以用于分类等.(Extreme learning machine used in classification)
ELM
- 用于光谱数据的分类，极限学习机是针对单隐层前馈神经网络提出的新算法。相对于传统的神经网络算法，不仅保证了学习精度，而且提高了学习速度。(Classification of spectral data The extreme learning machine is a new algorithm proposed for the single hidden layer feedforward neural network. Compared with the traditional neural
极限学习机程序
- 极限学习机程序，相较于SVM具有更高分类精度和效率，可有效应用于旋转机械故障诊断。