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2下载：
利用极限学习机elm来进行分类，你值得拥有，这个程序是可以实现的，有问题，一起讨论。(Use extreme learning machine elm to classify, you deserve it, thank you for this platform, thank you.)
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利用极限学习机ELM来实现RFID室内定位(Implementation of RFID indoor positioning by using extreme learning machine ELM)
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FOA-ELM FOA算法优化极限学习机的MATLAB代码(FOA-ELM FOA algorithm to optimize MATLAB code for extreme learning machine)
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极限学习机（ELM算法）初级版本，包括训练和测试两个版本，数据：http://benchmark.ini.rub.de/?section=gtsrb&subsection=news(Extreme learning machine (ELM algorithm) preliminary version)
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可用作数据的拟合和分类。核极限学习机采用了核函数，将数据投射到高维空间分类(It can be used for data fitting and classification. Kernel extreme learning machine uses kernel function to project data onto high-dimensional space.)
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极限学习机的代码，机器学习，可以用于分类等.(Extreme learning machine used in classification)
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针对非线性预测问题，建立极限学习机的预测模型，将数据样本分为训练样本和测试样本，并采用误差指标进行评价。(Aiming at the problem of non-linear prediction, the prediction model of extreme learning machine is established. The data samples are divided into training samples and test samples, and the error i
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针对数据分类问题，提出了基于极限学习机的分类方法，将数据样本分为训练样本和测试样本，并采用准确率指标进行评价。(Aiming at the problem of data classification, a classification method based on extreme learning machine is proposed. The data samples are divided into training samples and test samples, and the
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极限学习机是一类针对单层前馈神经网络设计的机器学习算法，其主要特点是隐含层节点参数可以是随机或人为给定的且不需要调整，学习过程仅需计算输出权重。ELM具有学习效率高和泛化能力强的优点，被广泛应用于分类、回归、聚类、特征学习等问题中。(Extreme learning machine for particle swarm optimization)
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多输入多输出的极限学习机，被证明是可以使用的(Extreme Learning Machine with Multiple Input and Multiple Output has been proved to be usable)
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用于光谱数据的分类，极限学习机是针对单隐层前馈神经网络提出的新算法。相对于传统的神经网络算法，不仅保证了学习精度，而且提高了学习速度。(Classification of spectral data The extreme learning machine is a new algorithm proposed for the single hidden layer feedforward neural network. Compared with the traditional neural
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爬山改进遗传算法，提供更快的收敛速度，并用于优化极限学习机权值(Mountain climbing improved genetic algorithm to provide faster convergence speed and to optimize the weight of extreme learning machine)
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蝙蝠算法优化极限学习机，简单易懂，可得到结果。(Bat algorithm optimizes extreme learning machine, which is simple and easy to understand and can get results.)
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基于极限学习机ELM的人脸识别程序,使用数据库为耶鲁人脸识别(Face Recognition Program Based on Extreme Learning Machine ELM)
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黄教授的极限学习机代码，结合他的论文看，很有用，希望有帮组(Extreme Learning Machine Code, very useful)
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遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)
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鲸鱼算法，PSO,GA,优化核极限学习机，(Whale algorithm, PSO, GA, optimized nuclear extreme learning machine,)
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核极限学习机程序，可以直接调用，满足分类要求。(Extreme Learning Machine Program)
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给出了一种极限学习机（elm)算法，并用汽油近红外光谱辛烷值数据集对ELM网络进行训练，最后用ELM对汽油辛烷值进行预测，并对预测结果进行评价。文件内含ELM工具箱，可直接在MATLAB运行。(An extreme learning machine (elm) algorithm is presented, and the ELM network is trained with the data set of gasoline near infrared spectroscopy octane
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内含两个数据集---iris_data和classsim，分别为艾瑞斯花和红酒的分类训练数据。分别用这两个数据集对极限学习机（ELM）进行训练，并测试ELM的分类效果。(It contains two data sets, iris_data and classsim, which are classified training data of Iris Flower and Red Wine respectively. The two data sets are used to train t
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