POET: an evo-devo method to optimize the weights of a large artificial neural networks
Large search spaces as those of artificial neural networks are difficult to search with machine learning techniques. The large amount of parameters is the main challenge for search techniques that do not exploit correlations expressed as patterns in the parameter space. Evolutionary computation with...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/17040 |
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