搜索资源列表
ELM-LRF-master-original
- ELM_LRF源代码（基于局部感知域的极限学习机），论文 Local Receptive Fields Based Extreme Learning Machine 的对应代码-The source code of paper Local Receptive Fields Based Extreme Learning Machine .
ELM--of-image-segmentation
- 以极限学习机的图 像分割算法为基础， 在确定了最优参数的基础上， 建立了基于ELM的图像分割算法， 并且通过仿真实验对算法的正确性和 有效性进行了验证， 指出这种算法能够更加快速地完成对图像的分割， 并且图像分割孤立点少， 边缘明显， 同时该算法大 大地缩短了样本的训练时间。-In image segmentation algorithm based on machine learning limit, in determining the optimum parameters ba
ELM-in-tumor-classification
- 提出了一种基于数据集分割的极限学习机集成算法——DS-E-ELM.-Extreme Learning Machine proposed integration algorithm DS-E-ELM dataset based segmentation.
Breast-lumps-detection-technology-
- 提出了一系列基于极限学习机的乳腺肿块检测技术。可以帮助影像科一是减少阅片时间。-A series based on Extreme Learning Machine breast mass detection technology. First Department of Radiology can help reduce the scoring time.
ELM_dialog
- 本算法主要采用的是极限学习机对电机故障诊断的研究，通过训练精度来诊断该算法的效果-This algorithm is mainly used in research ELM motor fault diagnosis, through training to diagnose accuracy of the algorithm effect
Enhancement-for-OS-ELM
- 在线序列极限学习机OS-ELM算法的基本原理及其改进算法- In this paper, we propose a Constructive Enhancement for OS-ELM (CEOS-ELM), which can add random hidden nodes one-by-one or group-by-group with fixed or varying group size.
47821364121
- 根据果蝇优化算法得到极速学习机隐层神经元的数目依据得到的隐层神经元数目和极限学习机的方法对训练样本和测试样本进行训练学习。-According to the fruit flies optimization algorithm to get extreme learning machine based on the number of hidden layer neurons of hidden layer neurons number and extreme learning machine
ELM-MATLAB-GPU
- 极限学习机代码（GPU版本），使用MATLAB自带的GPU工具箱-Extreme Learning Machine code (GPU version), the use of MATLAB s own GPU toolbox
Elenn
- ELM是现在流行的超强学习机（也叫极限学习机）源码ELM是有效ELM的源码 -ELM is now popular super learning machine (also known as the ultimate learning machine) ELM is the source ELM effective source
ELM
- elm极限学习机预测风速 预测精度高能够形成完成的预测风速 -elm ELM forecast wind speed high prediction accuracy can be formed to complete the predicted wind speed
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.
kmedoids
- 此文档经过k中心点处理过后的风电数据，最后采用极限学习机验证的代码- U6B64 u6587 u6863 u7ECF u8FC7k u4E2D u5FC3 u70B9 u5904 u7406 u8FC7 u540E u7684 u98CE u7535 u6570 u636E uFF0C u6700 u540E u91C7 u7528 u6781 u9650 u5B66 u4E60 u673A u9A8C u8BC1 u7684 u4
OPTICS
- 此为利用optics聚类方法剔除风电异常数据后，采用极限学习机验证的代码-optics data mining
liqundianjiance
- 此为利用离群点检测剔除风电异常数据后，利用极限学习机验证的代码- U6B64 u4E3A u5229 u7528 u79BB u7FA4 u70B9 u68C0 u6D4B u5254 u9664 u98CE u7535 u5F02 u5E38 u6570 u636E u540E uFF0C u5229 u7528 u6781 u9650 u5B66 u4E60 u673A u9A8C u8BC1 u7684 u4EE3 u7801
miduguji
- 此为利用密度估计剔除风电异常数据后，利用极限学习机验证的代码- U6B64 u4E3A u5229 u7528 u5BC6 u5EA6 u4F30 u8BA1 u5254 u9664 u98CE u7535 u5F02 u5E38 u6570 u636E u540E uFF0C u5229 u7528 u6781 u9650 u5B66 u4E60 u673A u9A8C u8BC1 u7684 u4EE3 u7801
4-elm-examples
- 4个 elm例子，供大家学习极限学习机，请批评指正-four elm examples for every one
chapter30
- matlab实现极限学习机的回归拟合及分类——对比实验研究，例子是回归拟合——基于近红外光谱的汽油辛烷值预测-Regression Fitting and Classification of Limit Learning Machines- Comparative Experimental Study, Example of Regression Fitting- Prediction of Gasoline Octane Number Based on Near Infrared Spectr
ELMregression
- 极限学习机在回归拟合问题中的应用，拟合度良好，代码经过验证绝对没有错误哦-Extreme learning machine in the application of regression fitting, the fitness is good
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
FSVD-H-ELM
- 基于极限学习机的一种快速奇异值分解的方法，较传统的极限学习机性能提升较明显-Based on extreme learning machine ， a rapid method of singular value decomposition, the improvement is obvious