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Evolving scalable and modular adaptive networks with Developmental Symbolic Encoding
Evolutionary neural networks, or neuroevolution, appear to be a promising way to build versatile adaptive systems, combining evolution and learning. One of the most challenging problems of neuroevolution is finding a scalable and robust genetic representation, which would allow to effectively grow i...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer-Verlag
2011
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3161195/ https://ncbi.nlm.nih.gov/pubmed/21957432 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12065-011-0057-0 |
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