搜索资源列表
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极限学习机的分类源码,包括训练和测试,一个例子-Extreme Learning Machine classification source, including training and testing, an example
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复数极限学习机,Fully Complex Extreme Learning Machine-Fully Complex Extreme Learning Machine
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Bidirectional extreme learning machine for regression problem and its learning effectiveness的源代码-the source code of "Bidirectional extreme learning machine for regression problem and its learning effectiveness"
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极限学习机源代码 黄广斌 南洋理工大学循序渐进,让新手学会如何matlab编程-Extreme Learning Machine source code Huangguang Bin Nanyang Technological University, step by step, so that novices learn how matlab programming
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极限学习机算法实现,极限学习机中学习函数可以选择。-Extreme Learning Machine algorithm, Extreme Learning Machine learning function can be selected.
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迭代法下的极限学习机,能对数据进行预测估计。-Extreme Learning Machine under iterative method, the data can be predicted estimates.
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关于极限学习机在脑电信号中的应用的主程序表示说明-About extreme learning machine in the application of brain electrical signal of the main program said
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ELM(Extreme Learning Machine)提出者huang给出的源代码,是基本的MATLAB code of basic ELM(with randomly generated hidden nodes,random neurons)-ELM (Extreme Learning Machine) author huang given source code, is a basic MATLAB code of basic ELM (with randomly generated
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matlab code of A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.-Luo, Minxia, and Kai Zhang. A hybrid approach combining e
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用蝙蝠算法(DE)对极限学习机(ELM)的输入权值和偏执进行进行优化,其诊断精度有明显提升。-With bat algorithm (DE) on Extreme Learning Machine (ELM) input weights and paranoia were optimized diagnostic accuracy has improved significantly.
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用差分进化算法对极限学习机进行优化,得到的极限学习机的诊断精度有了明显提高。-Using differential evolution algorithm to optimize the ultimate learning machine, diagnostic accuracy obtained Extreme Learning Machine has been significantly improved.
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用差分算法对在线惯序极限学习机的输入权值和偏置进行优化(本程序只限激励函数为sig),其学习时间比极限学习机分批进行学习总共的时间有所提升,诊断精度也提高了。-Algorithm using differential input weights and the bias line Extreme Learning Machine sequencer used to optimize (this program only excitation function for sig), its lear
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极限学习机的回归拟合及分类——对比实验研究-Regression and classification Extreme Learning Machine- comparative experimental study
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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 for SLFN- Extreme Learning Mach
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这是用ELM(极限学习机)做的关于图像识别的分类实验,有数据,有程序,有训练时间,测试时间和精度-It is used ELM (Extreme Learning Machine) to do experiments on the classification of image recognition, has data, procedures, training time, test time and accuracy
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极限学习机matlab以及Python程序,最近几年出现的较为新的人工神经网络算法,有基于人脸识别的例子,由作者原网站下载,可运行。-Extreme Learning Machine matlab and Python program, more new artificial neural network algorithm emerged in recent years, there are examples of face recognition based on the original
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OS-ELM 分类器,极限学习机应用,可以用于机器视觉应用、图像理解等各方面。-OS-ELM classifier, Extreme Learning Machine
Can be used in all aspects of machine vision applications, such as image understanding.
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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
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极限学习机\极速学习机\鲁棒ELM代码
matlab代码 离群值鲁棒极速学习机文章Zhang, Kai, and Minxia Luo. Outlier-robust extreme learning machine for regression problems. Neurocomputing 151 (2015): 1519-1527.的matlab代码-Matlab codes of the following paper:
Zhang, Kai, and Minxia Luo.
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极限学习机\极速学习机\ELM
稀疏表示人脸识别\稀疏表示\L0范数求解
基于ELM与稀疏表示的混合人脸识别算法
AR人脸识别准确率95 .
文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artific
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