Classificação de sinais EGG combinando Análise em Componentes Independentes, Redes Neurais e Modelo Oculto de Markov

Classificação de sinais EGG combinando Análise em Componentes Independentes, Redes Neurais e Modelo Oculto de Markov

Identify some digestive features in people through Electrogastrogram (EGG) is important because this is a cheap, non-invasive and less bother way than traditional endoscopy procedure. This work evaluates the learning behavior of Artificial Neural Networks (ANN) and Hidden Markov Model (HMM) on compo...

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Bibliographic Details
Main Author: Santos, Hallan Cosmo dos
Other Authors: Montesco, Carlos Alberto Estombelo
Format: Others
Language:Portuguese
Published: Universidade Federal de Sergipe 2017
Subjects:
Análise de componentes independentes
FastIca
Métodos tensoriais
Redes neurais artificiais
Eletrogastrografia
Modelo Oculto de Markov
Independent component analysis
Tensorial methods
Artificial neural networks
Electrogastrogram
Hidden Markov Model
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
Online Access:https://ri.ufs.br/handle/riufs/3348

Internet

https://ri.ufs.br/handle/riufs/3348

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