搜索资源列表
elm
- 超限学习机,用于回归和分类,数据集可以更改。(Regression and classification)
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
elm_kernel
- 极限学习机是最近比较流行的一种单隐层前馈神经网络,核极限学习机是极限学习机的改进版,此文件为核极限学习机的代码实现(Code implementation of extreme learning machine)
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)
改编ELMmatlab版code
- 这个算法是用来建立极限学习机网络的12345678(This algorithm is used to set up the limit learning machine network12345678)
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)
极限学习做特征选择思路1
- 极限学习机是一个快速的但因曾神经网络学习算法(Extreme learning is a fast learning method)
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)
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)
short
- 短期负荷预测的集成改进极端学习机方法,能有效提高预测(Short-term Photovoltaic Generation Forecasting Based on Similar Day Selection and Extreme Learning Machine)
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.)
BA_ELM
- 蝙蝠优化的极限学习机,提升极限学习机的效率(BA-ELM to improve effection of ELM)
ELM
- 极限学习机的matlab代码,黄广斌教授(ELM CODE of matlab from guangbin huang)
matlab1
- 通过极限学习机对数据进行二分类,亲测有效好使(Two classifications of data by extreme learning machine.)
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
- 极限学习机(ELM算法)初级版本,包括训练和测试两个版本,数据:http://benchmark.ini.rub.de/?section=gtsrb&subsection=news(Extreme learning machine (ELM algorithm) preliminary version)
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.)