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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
OS-ELM(Python)
- ELM是一种简单易用、有效的单隐层前馈神经网络，该代码是用python实现的极限学习机，亲测有用-extreme learning machine realized by python，it works well
Python-ELM-master
- 经典的ELM算法，适合做小样本回归预测，亲测有用，亲测有效-The classical ELM algorithm, suitable for small sample regression, pro test useful, pro test effective
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.)
Python-ELM-master
- 这是一种学习速度快、泛化性能好的学习模型(A learning model with good learning speed and good generalization performance)
elm
- 一个简单移动的ELM超限学习机的小例子，实现了简单的ELM神经网络模型，并且还带有测试数据集。(A simple example of a simple moving ELM overrun learning machine)
ELM
- 采用python语言实现极限学习机算法，数据三分类，加入数据可以跑通(Using python language to achieve extreme learning machine algorithm, data three classification, join data can run through)
深度（多层）极限学习机的python实现
- 深度极限学习机也叫多层极限学习机，ML-ELM。是黄广斌等人在极限学习机ELM基础上，将其拓展为深度学习的一种模式识别方法，原文文章：Representational learning with extreme learning machine for big data。(The deep extreme learning machine is also called the multi-layer extreme learning machine, ML-ELM. It is Huang Gu