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Extreme learning machine
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Extreme Learning Machine
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极限学习机是由黄广斌在2005年作为一种新的单隐层前馈神经网络提出的，具有与神经网络（NN）相同的全局逼近性质，且其参数学习无需迭代，速度明显快于现有的神经网络。目前在岩性识别、LF终点温度软测量、穿孔机导盘转速测量、软测量建模、图像识别等方面有所应用，但将其用于图像分割中的应用还较少。-Extreme learning machine is by Huang guangbin in 2005 as a new single hidden layer feedforward neural net
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极限学习机matlab实现代码，需要用户提供训练数据-extreme learning machine
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一种快速神经网络即，极限学习机的样本分类问题的MATLAB实现源码-That is a fast neural network, MATLAB ELM sample classification realize source
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ELM_LRF源代码（基于局部感知域的极限学习机），论文 Local Receptive Fields Based Extreme Learning Machine 的对应代码-The source code of paper Local Receptive Fields Based Extreme Learning Machine .
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根据果蝇优化算法得到极速学习机隐层神经元的数目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。-According to the fruit flies optimization algorithm to get extreme learning machine based on the number of hidden layer neurons of hidden layer neurons number and extreme learning machine
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极限学习机代码（GPU版本），使用MATLAB自带的GPU工具箱-Extreme Learning Machine code (GPU version), the use of MATLAB s own GPU toolbox
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支持向量机与核学习工具箱，用于数据挖掘中核方法开发的必备工具，如支持向量机、极限学习机等。-Support vector machine (SVM) and nuclear learning toolkit for nuclear method development of necessary tools in data mining, such as support vector machine (SVM), extreme learning machine, etc.
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利用超限学习机（ELM）和稀疏表示(SRC)进行图像分类。Matlab完整源码。-Extreme learning machine and adaptive sparse representation for image classification
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采用多个超限学习机（ELM）投票机制来提升算法准确率。-Voting based Extreme Learning Machine
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极限学习机在回归拟合问题中的应用，拟合度良好，代码经过验证绝对没有错误哦-Extreme learning machine in the application of regression fitting, the fitness is good
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极限学习机的算法改良，在极限学习机的基础上加上核函数，使其性能更好-Limit of machine learning algorithm is improved, on the basis of the extreme learning machine and kernel function, make its performance better
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基于极限学习机的一种快速奇异值分解的方法，较传统的极限学习机性能提升较明显-Based on extreme learning machine ， a rapid method of singular value decomposition, the improvement is obvious
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神经网络极限学习机的一种改良算法，性能提升明显，非常难找-Neural network ——extreme learning machine, a kind of improved algorithm， the performance increase obviously, very hard to find
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Recent research has shown the speed advantage of extreme learning machine (ELM) and the accuracy
advantage of sparse representation classification (SRC) in the area of image classification. Those two
methods, however, have their respective drawback
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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.)
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extreme learning machine
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extreme learning machine matlab code
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ELM（极限学习分类器）分类器是一个很好用的分类器，(ELM classifier(extreme learning machine classifier) is a good used classifier.)
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