Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2295
Título: Temperature models of a homogeneous medium under therapeutic ultrasound
Autor: Teixeira, C. A.
Cortela, G.
Gomez, H.
Ruano, M. Graça
Ruano, A. E.
Negreira, C.
Pereira, W. C. A.
Palavras-chave: Temperature modelling
Neural networks
Multi-objective genetic algorithms
Data: 2004
Citação: Teixeira, C. A.; Cortela, G.; Gomez, H.; Ruano, M. G.; Ruano, A. E.; Negreira, C.; Pereira, W. C. A. Temperature models of a homogeneous medium under therapeutic ultrasound, Revista Brasileira de Engenharia Biomédica, 20, 2-3, 97-101, 2004.
Resumo: Temperature modelling of human tissue subjected to ultrasound for therapeutic use is essential for an accurate instrumental assessment and calibration. Prior studies developed on a homogeneous medium are hereby reported. Non-linear punctual temperature modelling is proposed by means of Radial Basis Functions Neural Network (RBFNN) structures. The best-performed structures are obtained using a Multiobjective Genetic Algorithm (MOGA). The best performed neural structure presents a Root Mean Square Error (RMSE) of one order magnitude less than the one presented by the best behaved linear model - the AutoRegressive with eXogenous inputs (ARX); The maximum absolute error achieved with the neural model was 0.2 ºC.
Peer review: yes
URI: http://hdl.handle.net/10400.1/2295
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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