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极限学习机(extreme learning machine)ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2004年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法(如BP算法)需要人为设置大量的网络训练参数,并且很容易产生局部最优解。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。-ELM extreme learning machine (extreme l
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自己编的简单极限学习机程序,供初学者参考。具有较好的预测功能。-Own series of simple extreme learning machine program for beginners reference. Have good forecast function.
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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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提出了一种基于数据集分割的极限学习机集成算法——DS-E-ELM.-Extreme Learning Machine proposed integration algorithm DS-E-ELM dataset based segmentation.
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提出了一系列基于极限学习机的乳腺肿块检测技术。可以帮助影像科一是减少阅片时间。-A series based on Extreme Learning Machine breast mass detection technology. First Department of Radiology can help reduce the scoring time.
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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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matlab code of extreme learning machine Guangbin Huang -matlab code of extreme learning machine Guangbin Huang
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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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