A Pruning Algorithm Based on Relevancy Index of Hidden Neurons Outputs
Choosing the training algorithm and determining the architecture of artificial neural networks are very important issues with large application. There are no general methods which permit the estimation of the adequate neural networks size. In order to achieve this goal, a pruning algorithm based on...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2016-08-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/704 |