Aplicação de Redes Neurais Artificiais na Classificação de Padrões Posturais em Crianças Respiradoras Bucais e Nasais

Computational Modeling of Alzheimer’s Disease Symptoms Using Venn’s Network

Alzheimer’s disease is a degenerative disorder of the brain that is still without cure and affects millions of people around the world. Understanding the disease mechanisms is important for therapeutics. A first step would be to use an explanatory model of the disease’s symptoms. For that one would need an adaptive computational approach that resembles the biological system, upon which the Alzh...

Análise de Padrões de Propagação no Twitter

As a consequence of the popularization of the social networks, analyzing the information propagation in such networks has become a relevant task in several scenarios. Propagation patterns support the understanding of phenomena such as opinion formation and the emergence leaders in social networks. In this paper we present a methodology for propagation analysis on Twitter, the most popular micro...

A study on techniques for the automatic generation of membership functions for pattern recognition

The task of automatically generating suitable membership functions from data is fundamental for the appropriate performance of fuzzy systems that use a fuzzy rule base. In this paper we provide an overview of some methods found in the literature, which are based on heuristics, hybrid methods, fuzzy clustering algorithms, neural networks, genetic algorithms, and the entropy and fuzzy Kappa index...

Classificação Automática de Textos por Período Literário Utilizando Compressão de Dados Através do PPM-C

Métodos e técnicas para compressão de dados têm sido utilizados para o reconhecimento de padrões, incluindo a classificação automática de textos. A eficiência do método Prediction by Partial Matching (PPM) como classificador textual já foi comprovada em diversos trabalhos, entre eles a atribuição de autoria para textos em português. As classes utilizadas no processo de classificação não precisa...

Projeto de controladores suplementares de amortecimento utilizando redes neurais artificiais