Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems

This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal performs the SNN design by exploring the search sp...

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Detalles Bibliográficos
Autores principales: López-Vázquez, G., Ornelas-Rodriguez, M., Espinal, A., Soria-Alcaraz, J. A., Rojas-Domínguez, A., Puga-Soberanes, H. J., Carpio, J. M., Rostro-Gonzalez, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458934/
https://www.ncbi.nlm.nih.gov/pubmed/31049050
http://dx.doi.org/10.1155/2019/4182639

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458934/
https://www.ncbi.nlm.nih.gov/pubmed/31049050
http://dx.doi.org/10.1155/2019/4182639

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