Bayesian versus neural network analysis of algae data population: a new method to predict and analyse cause and effect (2013)
- Authors:
- USP affiliated authors: ACHCAR, JORGE ALBERTO - FMRP ; MACIEL, CARLOS DIAS - EESC
- Unidades: FMRP; EESC
- Subjects: REDES NEURAIS; ALGAS; INFERÊNCIA BAYESIANA; APRENDIZAGEM
- Language: Inglês
- Imprenta:
- Conference titles: International Joint Conference on Computational Intelligence - IJCCI
-
ABNT
LEE, Jen John et al. Bayesian versus neural network analysis of algae data population: a new method to predict and analyse cause and effect. 2013, Anais.. Vilamoura: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 2013. Disponível em: https://repositorio.usp.br/directbitstream/853283aa-5729-49e2-ad7b-195b55d2042f/002417397.pdf. Acesso em: 27 dez. 2025. -
APA
Lee, J. J., Achcar, J. A., Barros, E. A. C., & Maciel, C. D. (2013). Bayesian versus neural network analysis of algae data population: a new method to predict and analyse cause and effect. In . Vilamoura: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/853283aa-5729-49e2-ad7b-195b55d2042f/002417397.pdf -
NLM
Lee JJ, Achcar JA, Barros EAC, Maciel CD. Bayesian versus neural network analysis of algae data population: a new method to predict and analyse cause and effect [Internet]. 2013 ;[citado 2025 dez. 27 ] Available from: https://repositorio.usp.br/directbitstream/853283aa-5729-49e2-ad7b-195b55d2042f/002417397.pdf -
Vancouver
Lee JJ, Achcar JA, Barros EAC, Maciel CD. Bayesian versus neural network analysis of algae data population: a new method to predict and analyse cause and effect [Internet]. 2013 ;[citado 2025 dez. 27 ] Available from: https://repositorio.usp.br/directbitstream/853283aa-5729-49e2-ad7b-195b55d2042f/002417397.pdf - A statistical analysis and modeling of repair data from a brazilian power distribution system
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