Entropy analysis applied to NFIR models
Oswaldo Ludwig Júnior, Antônio Cezar de Castro Lima, Leizer Schnitman, J. A. M. Felippe de Souza · 2005
This present work has been developed in view of a research project that aims a mapping process between infrared images and thermo pair sensors readings in diesel motors by the use of artificial neural network. The consistence analysis of a set of examples used in the supervised training of artificial neural networks is presented. The proposed approach is based on the entropy analysis of both input and output data. The principal component analysis method is applied to avoid redundant information that can lead to an entropy level overestimation.