搜索资源列表
Limit-the-return-of-learning-machine
- 极限学习机的回归拟合及分类——对比实验研究-Limit the return of learning machine fitting and classification-contrast experiment research
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
imbanlace_kernel
- 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
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
极限学习机源代码
- 图像的特征提取 图像的分类 实现elm算法
chapter30
- 鸢尾花的极限学习机分类，有程序，有数据,还有一个例子-Iris ultimate learning machine classification, procedures, data, and an example
ELM
- 用于使用极限学习机算法进行分类问题,采用MATLAB编写，适合论文写作(Classification algorithms are used for the use of the extreme learning machine algorithm)
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.)
ELM_MatlabClass
- 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。该程序是用于极限学习机分类。(Extreme learning machine only need to set the number of hidden nodes of the network, the algorithm execution process does not need to adjust the input weight
极限学习机
- 极限学习机分类器，训练函数与预测函数，以及数据实例(Extreme Machine Classifiers, Training and Prediction Functions, and Data Instances)
H-ELM
- 可用作数据分类和拟合，深度极限学习机拥有深度学习的优势和自身计算速度快的优势(It can be used to classify and fit data. The deep extrme learning machine has the advantages of depth learning and fast computing speed.)
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.)
KELM
- 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.)
ELM_linbo.jin
- 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)
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
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
核极限学习机
- 核极限学习机程序，可以直接调用，满足分类要求。(Extreme Learning Machine Program)
ELM分类
- 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
极限学习机程序
- 极限学习机程序，相较于SVM具有更高分类精度和效率，可有效应用于旋转机械故障诊断。
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.)