搜索资源列表
ELM-java
- 极限学习机(ELM)在java下的实现算法，此为eclipse项目，已经添加好可用的jar包，调整文件路径后可以直接运行,(PS.极限学习机算法为elm官网所提供)(Extreme learning machine (ELM) in Java implementation algorithm, this is the eclipse project, has added a good jar package, adjust the fi
ELM
- 新加坡南洋理工黄教授编写的极限学习机的算法实现(the implementation of extreme learning machine)
Compelx-ELM
- 复数极限学习机，通过复数处理，将极限学习机扩展到复数领域，效果很好(Complex limit learning machine, through the complex processing, the limit learning machine extended to the complex domain, the effect is very good)
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)
OS-ELM在线极限学习机
- 此代码是OS-ELM在线极限学习机，内含训练集和测试集。(This code is the OS-ELM online extreme learning machine, containing training set and test set.)
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
- 超限学习机，用于回归和分类，数据集可以更改。(Regression and classification)
elm
- 使用极限学习机进行预测，含有实际电厂数据(Using extreme learning machine to predict, which contains actual power plant data)
data and original ELM
- 超限学习机预测部分的算法改进，用于指纹室内定位，输出坐标(Algorithm Improvement of Predictive Part of Overrun Learning Machine)
elm
- 极限学习机ELM代码，matlab编写的，可以直接调用。(ELM code, matlab written,)
ELM
- 极限学习机，核心机代码，来自于新加坡NTU黄教授网站(ELM,from the website of prof.huang)
07 极限学习机（Extreme Learning Machine, ELM）
- ELM算法指出，其实隐层的权值矩阵W和偏置b其实是没有必要调整的，在学习算法开始时，任意随机给定W和b的值，利用其计算出H（隐层节点的输出），并令其保持不变，需要确定的参数就只有β了。这是一个比较重要的理论基础。(The ELM algorithm is pointed out, in fact, hidden layer weights matrix W and B is not necessary to adjust the bia
ELM
- 本程序主要用于预测，极限学习机。楼主编程中已经使用，大家共享学习。(this code is use for forcast. elm)
Incremental-ELM
- 很详细的极限学习机增量学习的代码，非常适合新手入门学习(Very detailed limit learning machine incremental learning code, very suitable for beginners to learn)
ELM-Java
- ELM-JAVA 极限学习机java版，黄广斌教授(ELM-JAVA from GuangBin Huang)
SaDE-ELM
- 本代码主要是实现超限学习机，以达到在机器学习领域的快速回归(This code is mainly to achieve overrun learning machine, in order to achieve rapid regression in machine learning field.)
ELM
- 极限学习机的matlab代码，黄广斌教授(ELM CODE of matlab from guangbin huang)
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.)
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 samp
深度（多层）极限学习机的python实现
- 深度极限学习机也叫多层极限学习机，ML-ELM。是黄广斌等人在极限学习机ELM基础上，将其拓展为深度学习的一种模式识别方法，原文文章：Representational learning with extreme learning machine for big data。(The deep extreme learning machine is also called the multi-layer extreme learning m