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: 讲述了极限学习机原理、核极限学习机原理及其在分类问题中的应用-Tells the story of extreme learning machine principle and its application in the classification in question Platform: |
Size: 6492160 |
Author:柳光峰 |
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