搜索资源列表
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极限学习机在新环境下的应用,及其快速的算法-Extreme Learning Machine for applications in the new environment
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基于传统支持向量机(sVM)训练速度慢、参数选择难等问题,提出了基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法,不但可以简化参数选择过程,而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine
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基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法,不但可以简化参数选择过程,而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine is proposed based on (ELM) of li
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极限学习机,一种很快的学习算法,有很好的泛化性能,性能略低于SVM,但快于SVM。-Extreme learning machine, a very fast learning algorithm has good generalization of features, performance was slightly lower than SVM, but faster than the SVM.
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Extreme learning machine is used to classify seizures based on feature extraction
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extreme learning machine for feature classification
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extreme learning machine matlab code
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该算法完整地描述了极限学习机对混凝土强度预测的过程-The algorithm is a complete descr iption of extreme learning machine for concrete strength prediction process
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ELM算法Matlab实现,Extreme Learning Machine是一种快速神经网络学习方法-Extreme Learning Machine
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matlab智能算法案例之一,无导师学习神经网络-The regression and classification of Extreme Learning Machine. matlab intelligent algorithm case
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极值学习机,一种最近流行的算法。它的使用,使得计算过程大大的简化,值得交流分享。-Extreme Learning Machine, a recently popular algorithms. Its use, so that the calculation process is greatly simplified, worth sharing.
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极限学习机的回归拟合和分类,测试是没问题可以用的。-Extreme Learning Machine regression fit and classification, the test is no problem with.
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对极限学习机的数据的补充。This paper has demonstrated that ELM can be used
efficiently in many applications, however, two more
interesting aspects are still open: the universal approximation
capability9 of ELM and the performance of ELM in
sparse high-dim
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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!
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智能算法:神经网络,极限学习机,遗传算法,粒子群算法,蚁群算法,鱼群算法,人工免疫算法-Intelligent algorithms: neural networks, Extreme Learning Machine, genetic algorithm, particle swarm optimization, ant colony algorithm, fish swarm algorithm, artificial immune algorithm
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基于极限学习机的不平衡数据集分类,性能极好,且速度较快-Based on extreme learning machine for imbalanced data sets classification, excellent performance, and faster
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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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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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