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 em...

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

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