Identicação de sistemas neurais com redes bayesianas dinâmicas e transferência de entropia

Identicação de sistemas neurais com redes bayesianas dinâmicas e transferência de entropia

Redes Bayesianas Dinâmicas (DBNs) são modelos capazes de representar um sistema dinâmico por meio de uma rede complexa que codifica as independências estatísticas condicionais entre os seus estados internos. Entre seus métodos de aprendizagem estrutural a partir de dados, o uso daqueles baseados...

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Bibliographic Details
Main Author:	Fernando Pasquini Santos
Other Authors:	Carlos Dias Maciel
Language:	Portuguese
Published:	Universidade de São Paulo 2017
Subjects:	Análise de espectro singular Engenharia bioinspirada fMRI Identificação de sistemas Redes Bayesianas dinâmicas Sistemas neuromotores Transferência de entropia Bioinspired engineering Dynamic Bayesian networks Neuromotor systems Singular spectrum analysis System identification Transfer entropy
Online Access:	http://www.teses.usp.br/teses/disponiveis/18/18153/tde-18042017-164144/

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