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Neuroevolution and complexifying genetic architectures for memory and control tasks
The way genes are interpreted biases an artificial evolutionary system towards some phenotypes. When evolving artificial neural networks, methods using direct encoding have genes representing neurons and synapses, while methods employing artificial ontogeny interpret genomes as recipes for the const...
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| Formato: | Texto |
| Lenguaje: | English |
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Springer-Verlag
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2758373/ https://www.ncbi.nlm.nih.gov/pubmed/18415134 http://dx.doi.org/10.1007/s12064-008-0029-9 |