搜索资源列表
diabetes_train
- 这是一个关于极限学习机matlab的核函数的源程序，对有这方面研究的人有帮助-this is a matlab source program of elm
imbanlace_kernel
- 基于径向基核函数的不均衡数据集的极限学习机分类源代码-Based on radial basis function unbalanced datasets Extreme Learning Machine classifier source code
elm_kernel
- ELM 极限学习机的核函数 MATLAB程序，用于深入研究和改进极限学习机-Kernel MATLAB program ELM Extreme Learning Machine for further research and improvement Extreme Learning Machine
elm_kernel_trainapredict
- Kernel_ELM传说中的核-极限学习机，基于官网给的版本，拆分成了训练和预测两个模块，方便大家得到训练模型和预测标签-Kernel_ELM, Extreme Learning Machine using Kernel，including two modules as train & predict
ELM_kernel
- 从黄广斌官网下载的，添加了核函数的核极限学习机-Download the official website of Huang Guangbin, adding the kernel fucntion to Extreme Learning Machine
kernel-ELM
- 核极限学习机，引入核函数解决ELM求解问题，一旦参数选定，结果就稳定下来，不再混入随机。在原来版本上加入自己理解改写，使得代码更容易理解。-Kernel extreme learning machine, kernel function is applied to deal with ELM to solve the problem, once the parameters selected, the result is stabilized, not randomly in the origi
SSELM-and-USELM
- 半监督核无监督极限学习机，用于半监督核无监督学习，比传统方法速度略快，且可以直接应用多分类问题-A semi-supervised nuclear unsupervised extreme learning machine, used for a semi-supervised kernel unsupervised learning, slightly faster than the traditional methods, and can direct application classif
SVM-KM
- 支持向量机与核学习工具箱，用于数据挖掘中核方法开发的必备工具，如支持向量机、极限学习机等。-Support vector machine (SVM) and nuclear learning toolkit for nuclear method development of necessary tools in data mining, such as support vector machine (SVM), extreme learning machine, etc.
elm_kernel
- 极限学习机的算法改良，在极限学习机的基础上加上核函数，使其性能更好-Limit of machine learning algorithm is improved, on the basis of the extreme learning machine and kernel function, make its performance better
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
- 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)
KOSELM-standalone
- kerne online sequential Extreme learning machine
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.)
VNWOA优化LSSVM
- 鲸鱼算法，PSO,GA,优化核极限学习机，(Whale algorithm, PSO, GA, optimized nuclear extreme learning machine,)
核极限学习机
- 核极限学习机程序，可以直接调用，满足分类要求。(Extreme Learning Machine Program)
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 (slfns). It only needs to set t
53607888elm_kernel_trainapredict
- 核极限学习机程序，可以直接调用，满足分类要求。想换求KELM回归程序。(Kernel limit learning machine program can be called directly to meet the classification requirements.Want to change KELM regression program.)
结合双模多尺度 ＣＮＮ 特征及自适应深度ＫＥＬＭ 的浮选工况识别
- 针对可见光图像特征驱动的浮选工况识别方法的不足，提出一种基于双模态图像多尺度 ＣＮＮ 特征及自适应深度自编码核极限学习机（Ｋｅｒｎｅｌ Ｅｘｔｒｅｍｅ Ｌｅａｒｎｉｎｇ Ｍａｃｈｉｎｅ，ＫＥＬＭ）的浮选工况识别方法。先对泡沫的可见光、红外图像进行非下采样剪切波多尺度分解，设计双通道 ＣＮＮ 网络对双模态多尺度图像进行特征提取及融合，将多个双隐层自编码极限学习机串联成深度学习网络对 ＣＮＮ 特征逐层抽象提取，然后通过核极限学习机映射到更高维空间进行决策，最后改进量子细菌觅食算法并应用于深度自编码