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2下载：
基于径向基核函数的不均衡数据集的极限学习机分类源代码-Based on radial basis function unbalanced datasets Extreme Learning Machine classifier source code
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极端学习机的改进算法，增强随机搜索能力的极端学习机EI-ELM主程序-Improved algorithm for extreme learning machine, and enhance the ability of random search of extreme learning machine EI-ELM main
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基于极限学习机的预测模型，数据为混沌数据-extreme learning machine
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Bidirectional extreme learning machine - B-ELM
Y. Yang, Y. Wang, and X. Yuan, "Bidirectional extreme learning machine for regression problem and its learning effectiveness," IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, pp.
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Weighted ELM for imbalanced datasets - Weighted-ELM
W. Zong, G.-B. Huang, and Y. Chen, “Weighted extreme learning machine for imbalance learning,” Neurocomputing, vol. 101, pp. 229-242, 2013.
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基于极限学习机的模拟故障诊断内容，狠心的大家来下载吧，我试过了很好用的-Based on extreme learning machine fault diagnosis of analog content, cruel everyone to download it, I tried a very good use
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极限学习机分类与拟合,训练采用elmtrain.m，分类与拟合用elmprediction.m.-Extreme Learning Machine classification and fitting
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增量式极限学习机的matlab源码,很不错，本科毕设用到的-Incremental extreme learning machine matlab source code, very good, complete set used in undergraduate
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使用极限学习机ELM算法进行遥感图像分类的源代码，很好的例子-Use extreme learning machine ELM remote sensing image classification algorithm source code, a good example
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最优剪枝极限学习机的matlab工具箱，内有源码课直接拿来修改使用-Extreme Learning Machine optimal pruning matlab toolbox, there are lessons directly used to modify the source code
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这个一个极限学习机的代码，希望你能从中学到不少好东西-Little extreme learning machine code that allows you to learn about, you look good if you can do some
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自编极限学习机Matlab代码，可运行。仅供参考-Using extreme learning machine Matlab code, can run. For reference only
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极限学习机是一种神经网络仿真，比BP,SWM学习速度更快，参数设置更容易--Extreme Learning Machine is a kind of neural network simulation, compared with BP, SWM learning faster, easier to set parameters
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极限学习机elm的神经网络模型的源代码，还有实例-Extreme learning machine: a new learning scheme of feedforward neural networks
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用一种新颖的前馈神经网络——极限学习机，实现非线性系统的内模控制-Using a novel feed-forward neural network- extreme learning machine, implement internal model control of nonlinear systems
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粒子群算法优化极限学习机的参数，实现SINC函数拟合-The particle swarm algorithm to optimize the parameters of the extreme learning machine, realizes the SINC function fitting
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算法思想是：1） 根据果蝇优化算法得到极速学习机隐层神经元的数目；2） 依据得到的隐层神经元数目和极限学习机的方法对训练样本和测试样本进行训练学习。只要打开fruitfly_elm.m文件运行即可，可以换数据集 -Algorithm idea is: 1) according to the number of flies speed machine learning algorithm to obtain the hidden layer neurons optimization Method
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极速学习机，提供了新选择
速度大大优于SVM
效果比SVM略差-Extreme Learning Machine
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极限学习机程序代码，可以进行拟合与分类，该算法结构简单，比BP等神经网络号-extreme learning machine
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极限学习机[1](Extreme Learning Machine,
ELM)是在单隐层神经网络(Single hidden Layer Feed-forward Neural networks, SLFNs)基础上提出的一种高效的学习方法。不同于传统的神经网络，
ELM 中所有的隐层参数均为随机产生，而不需要烦琐的迭代过程；其输出权值则通过求解矩阵的广义逆得到。因此，相较于传统的SLFNs，在保证学习性能的基础上，ELM 的训练速度得以显著提升。-Extreme Learning Ma
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