搜索资源列表
elm
- 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!
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
ELM
- ELM（极限学习机）基础程序，包括分类算法和回归建模算法-ELM (ELM)-based procedures, including classification and regression modeling algorithms algorithms
ELMexam
- 使用极限学习机ELM算法进行遥感图像分类的源代码，很好的例子-Use extreme learning machine ELM remote sensing image classification algorithm source code, a good example
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
ELM
- 极限学习机程序代码，可以进行拟合与分类，该算法结构简单，比BP等神经网络号-extreme learning machine
elm
- 这是基于极限学习机 可用于分类或者回归分析 -This is based on matlab ultimate learning machine can be used for classification or regression analysis
OS-ELM
- OS-ELM 分类器，极限学习机应用，可以用于机器视觉应用、图像理解等各方面。-OS-ELM classifier, Extreme Learning Machine Can be used in all aspects of machine vision applications, such as image understanding.
Python-ELM-master
- 极限学习机的 python实现，可用于回归，多分类问题等。(The python coad of the extreme learning machine which can be used for regression, multiple classification problems, etc.)
MATLAB ELM
- 几种改进极限学习机算法，可用于数据分类、故障诊断等(Several improved limit learning algorithm, can be used for data classification, fault diagnosis, etc.)
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，建立人工智能模型，有学习和分类的作用(Extreme learning machine, the establishment of artificial intelligence model, the role of learning and classification)
ELM-classification
- 实现电路的不同故障模式进行分类，极限学习机(Different fault modes of the circuit are classified and the limit learning machine is implemented)
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
- 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)
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.)
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
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