Using an easy calculable complexity measure to introduce complexity in the artificial neuron model (2007)
- Authors:
- USP affiliated authors: SOUTO, SERGIO PAULO AMARAL - FZEA ; COSTA, ERNANE JOSÉ XAVIER - FZEA
- Unidade: FZEA
- Subjects: MEDIÇÃO MECÂNICA; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher place: Faisalabad
- Date published: 2007
- Source:
- Título do periódico: Research Journal of Biological Sciences
- ISSN: 1815-8846
- Volume/Número/Paginação/Ano: v. 2, n. 5, p. 607-611, 2007
-
ABNT
SILVA, Ana Carolina Sousa et al. Using an easy calculable complexity measure to introduce complexity in the artificial neuron model. Research Journal of Biological Sciences, v. 2, n. 5, p. 607-611, 2007Tradução . . Acesso em: 19 abr. 2024. -
APA
Silva, A. C. S., Souto, S. P. A., Cabral Júnior, E. F., & Costa, E. J. X. (2007). Using an easy calculable complexity measure to introduce complexity in the artificial neuron model. Research Journal of Biological Sciences, 2( 5), 607-611. -
NLM
Silva ACS, Souto SPA, Cabral Júnior EF, Costa EJX. Using an easy calculable complexity measure to introduce complexity in the artificial neuron model. Research Journal of Biological Sciences. 2007 ; 2( 5): 607-611.[citado 2024 abr. 19 ] -
Vancouver
Silva ACS, Souto SPA, Cabral Júnior EF, Costa EJX. Using an easy calculable complexity measure to introduce complexity in the artificial neuron model. Research Journal of Biological Sciences. 2007 ; 2( 5): 607-611.[citado 2024 abr. 19 ] - Food flavor evaluation through brain signals using digital signal processing
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