搜索资源列表
ELM
- 基于matlab的极速学习机ELM的分类和回归算法-The speed of learning machine based on matlab classification and regression algorithm ELM
OS-ELM
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
elm
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
elm
- 使用matlab 实现ELM算法，可以用来分类的回归。
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
Bp-and-ELM-classification
- 使用BP神经元网络、ELM分类算法对实例进行分类，其中ELM的训练和预测部分是自行编写的代码。-Using BP neural network, ELM classification algorithm to classify instances, training and forecast section where ELM is self-written code.
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.
ELM
- ELM分类，回归程序。对有标签的标准数据集进行分类，求分类的精度跟时间-ELM classification, regression program. On the label of the standard data set classification, seeking classification accuracy with time
ELM
- elm 训练函数 调整参数可用于分类和预测，matlab语言编写，已调试(elm training function)
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.)
ELM
- ELM回归与分类算法，用于近红外光谱或拉曼光谱数据处理(ELM regression and classification algorithms are used for near infrared or Raman spectral data processing)
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)
改进人工蜂群算法优化ELM分类模型_赵虎
- 经典的粗糙算法集代码，内有实例。主要用来数据约减，数据分类，优化(Classic rough sets of code, there are examples)
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分类器
- ELM是基于深度学习的分类器，运算速度快。 在B_data.m里导入待分类矩阵B.mat（1-n列为特征值，n列为标签）；运行B_data.m；再打开fuzzyEn_main.m并运行即可。(ELM is based on depth learning classifier, computing speed. In B_data.m imported matrix to be classified B.mat (1-n as eigenvalues, n as a label); Run B
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.)
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