搜索资源列表
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)
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.)
四输入四输出ELM
- 多输入多输出的极限学习机，被证明是可以使用的(Extreme Learning Machine with Multiple Input and Multiple Output has been proved to be usable)
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. Compare
elm
- 基于极限学习机ELM的人脸识别程序,使用数据库为耶鲁人脸识别(Face Recognition Program Based on Extreme Learning Machine ELM)
elm算法
- 黄教授的极限学习机代码，结合他的论文看，很有用，希望有帮组(Extreme Learning Machine Code, very useful)
ELM预测
- 给出了一种极限学习机（elm)算法，并用汽油近红外光谱辛烷值数据集对ELM网络进行训练，最后用ELM对汽油辛烷值进行预测，并对预测结果进行评价。文件内含ELM工具箱，可直接在MATLAB运行。(An extreme learning machine (elm) algorithm is presented, and the ELM network is trained with the data set of gasoline near
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
粒子群算法优化极限学习机PSO_ELM
- PSO粒子群算法优化极限学习机ELM参数，即PSO-ELM(The PSO particle swarm optimization algorithm is used to optimize the extreme learning machine ELM, ie pso-elm)
极限学习机预测，ELM负荷预测
- 极限学习机Extreme learning machine负荷预测(load forecasting using Extreme learning machine)
KELM
- 核极限学习机是一种单隐层前馈神经网络(the single-hidden layer feedforward neural networks,SLFNs),其只需要设置隐藏层节点数,然后采用最小二乘法计算出权值即可。因此,核极限学习机在学习速度和泛化能力上具有很大优势。(Kernel limit learning machine is a single hidden layer feedforward neural networks (