Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2326
Título: Supervised training approach using spiking neural networks
Autor: Silva, S. M.
Ruano, A. E.
Data: 2006
Citação: Silva, S. M.; Ruano, A. E. Supervised training approach using spiking neural networks, Trabalho apresentado em Global Education Techology Symposium (GETS 2006), In Proceedings of the Global Education Techology Symposium (GETS 2006), Faro, 2006.
Resumo: One of the basic aspects of some neural networks is their attempt to approximate as much as possible their biological counterparts. The goal is to achieve a simple and robust network, easy to understand and able of simulating the human brain at a computational level. Recently a third generation of neural networks (NN) [1], called Spiking Neural Networks(SNN) was appeared. This new kind of networks use the time of a electrical pulse, or spike, to encode the information. In the first and second generation of NN analog values are used in the communication between neurons.
Peer review: yes
URI: http://hdl.handle.net/10400.1/2326
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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