Mathematical Model of Feet Temperature
Author(s) -
David Bento,
Ana I. Pereira,
Fernando C. Monteiro,
Theodore E. Simos,
George Psihoyios,
Ch. Tsitouras,
Zacharias Anastassi
Publication year - 2011
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.3636850
Subject(s) - trigonometry , trigonometric functions , function (biology) , nonlinear system , work (physics) , approximation theory , linear approximation , mathematics , least squares function approximation , non linear least squares , mathematical optimization , function approximation , computer science , algorithm , mathematical analysis , artificial intelligence , statistics , estimation theory , geometry , engineering , artificial neural network , physics , mechanical engineering , quantum mechanics , evolutionary biology , estimator , biology
In this work it is consider the problem of finding the best approximation to characterize the feet temperature distribution. For this study it was consider the nonlinear least squares technique, combined with penalty method, to identify the function that approximate better the data obtained through thermographic images. The preliminary results indicate that the best function approximation is based on trigonometric sums.
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