Extreme Learning Machine
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Scan day: 07 February 2014 UTC
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Description: generalized Single-hidden Layer Feed forward Networks (SLFNs) and how to build them. Since work as universal approximators with adjustable hidden parameters, all parameters of ELMs can be analytically determined instead of being tuned. Written in Matlab. [GPL]
- Learning without iterative tuning - Random hidden neurons - Random features Neural networks (NN) and support vector machines (SVM) play key roles in machine learning and data analysis. Feedforward neural networks and support vector machines are usually considered different learning techniques in computational intelligence community. Both popular learning techniques face some challenging issues such as: intensive human intervene, slow learning speed, poor learning scalability.
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| Page title: | Extreme Learning Machines |
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| Description: | Designed and developed by Codify Design Studio - codifydesign.com |
| IP-address: | 155.69.6.158 |