搜索资源列表
ELM2011[1]
- 极限学习机在新环境下的应用，及其快速的算法-Extreme Learning Machine for applications in the new environment
ELM
- 极限学习机是一种神经网络仿真，比BP,SWM学习速度更快，参数设置更容易-Extreme Learning Machine is a kind of neural network simulation, compared with BP, SWM learning faster, easier to set parameters
ELM
- 基于传统支持向量机(sVM)训练速度慢、参数选择难等问题，提出了基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法，不但可以简化参数选择过程，而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine
ELM-NN
- 基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法，不但可以简化参数选择过程，而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine is proposed based on (ELM) of li
ELM
- 极限学习机，一种很快的学习算法，有很好的泛化性能，性能略低于SVM,但快于SVM。-Extreme learning machine, a very fast learning algorithm has good generalization of features, performance was slightly lower than SVM, but faster than the SVM.
ELM
- 该算法完整地描述了极限学习机对混凝土强度预测的过程-The algorithm is a complete descr iption of extreme learning machine for concrete strength prediction process
Limit-the-return-of-learning-machine
- 极限学习机的回归拟合及分类——对比实验研究-Limit the return of learning machine fitting and classification-contrast experiment research
os-elm
- 实现增量极限学习机，在线学习的方法等等，实现了在线连续学习功能-code written in matlab
OSELM_VARY
- 在线极限学习机函数，包含拟合和分类功能，有详细注释-Extreme Learning Machine function includes fitting and classification, detailed notes
ELM
- 极限学习机的matlab源程序,很有用，请需要的下载参考-matlab source program of elm
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
jixianxuexiji-huiguihefenlei
- 极限学习机的回归拟合和分类，测试是没问题可以用的。-Extreme Learning Machine regression fit and classification, the test is no problem with.
ELMsupplement
- 对极限学习机的数据的补充。This paper has demonstrated that ELM can be used efficiently in many applications, however, two more interesting aspects are still open: the universal approximation capability9 of ELM and the performance of ELM in sparse high-dim
elm_example
- 极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。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。-Extreme Learning Machine (extreme learn
elm
- 黄广斌等人提出的极限学习机理论，使用 Matlab 实现，可用于回归和分类问题!-Huangguang Bin, who proposed the theory of extreme learning machine, using Matlab to achieve, can be used for regression and classification problems!
intelligentalgorithm
- 智能算法：神经网络，极限学习机，遗传算法，粒子群算法，蚁群算法，鱼群算法，人工免疫算法-Intelligent algorithms: neural networks, Extreme Learning Machine, genetic algorithm, particle swarm optimization, ant colony algorithm, fish swarm algorithm, artificial immune algorithm
ELM_kernel
- 基于极限学习机的不平衡数据集分类，性能极好，且速度较快-Based on extreme learning machine for imbalanced data sets classification, excellent performance, and faster
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
Extreme-Learning-Machine
- 极限学习机的回归拟合及分类，介绍一个针对SLFN的新算法——极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点。-Extreme Learning Machine regression and classification, introduce a new algorithm
ELM
- 基于极限学习机的预测模型，数据为混沌数据-extreme learning machine