17 citations · 18 across the 4 of their papers we have counts for
4 papers
Hybrid Method Based on NARX models and Machine Learning for Pattern Recognition
P. H. O. Silva, A. S. Cerqueira, E. G. Nepomuceno
This work presents a novel technique that integrates the methodologies of machine learning and system identification to solve multiclass problems. Such an approach allows to extrac…
Identificação de Sistemas Não Lineares Utilizando o Algoritmo Híbrido e Binário de Otimização por Enxame de Partículas e Busca Gravitacional
W. R. Lacerda Junior, S. A. M. Martins, E. G. Nepomuceno
This work presents a new meta-heuristic approach to model structure selection of polynomial NARX models. In this respect, the technique penalizes the models based on the individual…
A Survey of the Individual-Based Model applied in Biomedical and Epidemiology
E. G. Nepomuceno, D. F. Resende, M. J. Lacerda
Individual-based model (IBM) has been used to simulate and to design control strategies for dynamic systems that are subject to stochasticity and heterogeneity, such as infectious…
Simulation of Chua's Circuit by Means of Interval Analysis
M. R. Silva, E. G. Nepomuceno, G. F. V. Amaral +1
The Chua's circuit is a paradigm for nonlinear scientific studies. It is usually simulated by means of numerical methods under IEEE 754-2008 standard. Although the error propagatio…