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Characterization of feet temperature

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Detalhes bibliográficos
Resumo:In this work it was studied the problem of finding the best approximation to characterize the feet temperature distribution. For this study it was considered the nonlinear optimization, specifically the pattern search method for local optimization and the genetic algorithm method for global optimization. Using these nonlinear optimization methods we were capable to identify the function that fits the data obtained through thermographic images.
Autores principais:Carvalho, Soraia Leite
Outros Autores:Pereira, Ana I.
Assunto:Nonlinear optimization Temperature distribution Global optimization
Ano:2013
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:In this work it was studied the problem of finding the best approximation to characterize the feet temperature distribution. For this study it was considered the nonlinear optimization, specifically the pattern search method for local optimization and the genetic algorithm method for global optimization. Using these nonlinear optimization methods we were capable to identify the function that fits the data obtained through thermographic images.