Description: 新神经网络
Extreme Learning Machine
比SVM快，附4个例子
-The new neural network Extreme Learning Machine faster than the SVM, with four examples of Platform: |
Size: 869376 |
Author:yu wei |
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Description: 主要是基于extreme learning machine的改进算法，结合了增量学习-It’s mainly based on the extreme learning machine improvement algorithm, unified the increase study Platform: |
Size: 8192 |
Author:zuojun |
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Description: 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 Platform: |
Size: 2048 |
Author:李小芳 |
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Description: 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 for SLFN- Extreme Learning Machine (Extreme Learning Machine, ELM), the algorithm randomly generated input layer and hidden layer connection weights between the hidden layer and dollar threshold, and no adjustment in the training process, only need to set the number of hidden layer neurons, they can obtain a unique optimal solution. Compared with traditional training methods, this method has fast learning and good generalization performance. Platform: |
Size: 290816 |
Author:zhang mengyu |
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Description: 关于改进极限学习机melm的应用期刊论文，作者为江南大学的毛力等-
您是不是要找： 关于改进极限学习机elm的应用期刊论文,作者为江南大学的毛力等
Application Papers on improving the extreme learning machine melm, the author of Mao force of Jiangnan University Platform: |
Size: 874496 |
Author:柳飞 |
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Description: 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。2004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。-ELM extreme learning machine (extreme learning machine) is a simple and easy to use, effective SLFNs single hidden layer feedforward neural network learning algorithm. Put forward by Huang Guangbin at nanyang technological university in 2004. The traditional neural network learning algorithm (BP algorithm) need to be set a large amount of network training parameter, and it s easy to produce the local optimal solution. Extreme learning machine only need to set the number of hidden layer nodes of networks, execution of the algorithm does not need to adjust the network weights of the input and hidden yuan bias, and produce the optimal solution, thus has advantages of fast learning speed and good generalization capability. Platform: |
Size: 15360 |
Author:jhon |
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Description: 极限学习机的 python实现，可用于回归，多分类问题等。(The python coad of the extreme learning machine which can be used for regression, multiple classification problems, etc.) Platform: |
Size: 13312 |
Author:huahuafighting
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Description: 极限学习机(ELM)在java下的实现算法，此为eclipse项目，已经添加好可用的jar包，调整文件路径后可以直接运行,(PS.极限学习机算法为elm官网所提供)(Extreme learning machine (ELM) in Java implementation algorithm, this is the eclipse project, has added a good jar package, adjust the file path can be directly run (PS. limit learning algorithm is provided by elm official website)) Platform: |
Size: 2006016 |
Author:小雨和幸运
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Description: 极限学习机，建立人工智能模型，有学习和分类的作用(Extreme learning machine, the establishment of artificial intelligence model, the role of learning and classification) Platform: |
Size: 368640 |
Author:凌畅
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Description: Extreme Learning Machine极限学习机器
神经网络研究中的一种算法，是一种泛化的单隐层前馈神经网络（Single-hidden layer feedforward network）(Ultimate learning machine
An algorithm for neural networks is a generalization of a single hidden layer feedforward neural network) Platform: |
Size: 53248 |
Author:水中的夏季
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Description: ELM（极限学习机）对序列进行预测，里面含有测试数据，可以运行，欢迎下载！(ELM (extreme learning machine) to predict the sequence, which contains test data, can run, welcome to download!) Platform: |
Size: 176128 |
Author:Kingone |
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Search - ELM Extreme Learning Machine