搜索资源列表
OSELM_VARY
- 在线极限学习机函数，包含拟合和分类功能，有详细注释-Extreme Learning Machine function includes fitting and classification, detailed notes
elm
- 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
Dib
- 通过极限学习机进行云分类时要用得到cidb类-Limit use to get cidb class learning machine via cloud classification
breast_figure
- breast数据集的极限学习机的分类算法，自己编写的，可以运行-Extreme Learning Machine classification algorithm breast datasets, write your own, you can run
elm
- 极限学习机，分类和回归，有程序，数据和相关案例(ultimate learning machine classification and regression, procedures, data, and examples.)
samples
- 这个是基于最初始的极限学习机的例子，分别用于回归和分类(This is an example based on the initial limit learning machine, which is used for regression and classification, respectively)
ELM
- 采用python语言实现极限学习机算法，数据三分类，加入数据可以跑通(Using python language to achieve extreme learning machine algorithm, data three classification, join data can run through)
ELM分类
- 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.)
基于极限学习机ELM的数据分类
- 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
PSO_ELM
- 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)
ELM
- 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
53607888elm_kernel_trainapredict
- 核极限学习机程序，可以直接调用，满足分类要求。想换求KELM回归程序。(Kernel limit learning machine program can be called directly to meet the classification requirements.Want to change KELM regression program.)