Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2231
Título: A data-driven methodology for non-invasive tempearture estimation in multilayered media
Autor: Teixeira, C. A.
Pereira, W. C. A.
Ruano, M. Graça
Ruano, A. E.
Palavras-chave: Temperature profiles
Temperature control
Neural networks-models
Radial base function networks
Multi-objective optimisation
Data: 2008
Citação: Teixeira, C. A.; Pereira, W. C. A.; Ruano, M. G.; Ruano, A. E. A Data-Driven Methodology for Non-Invasive Tempearture Estimation in Multilayered Media, Trabalho apresentado em 8th Portuguese Conference on Automatic Control (Controlo 2008), In Proceedings of the 8th Portuguese Conference on Automatic Control (Controlo 2008), Vila Real, 2008.
Resumo: A main limitation on the application of thermal therapies is the lack of quantitative temperature knowledge in the treatment zone. This knowledge would increase the safety and effectiveness, through a correct instrumentation control. The portability and relative low cost of the ultrasound devices encourages the application of backscattered ultrasound (BSU) for temperature estimation. So far the methods based on BSU were only developed for homogeneous media. This paper reports a data-driven methodology able to estimate temperature in non-homogeneous media, with the required resolution. Appropriate generalisation performance was observed even under operating situations never considered in the training procedure.
Peer review: yes
URI: http://hdl.handle.net/10400.1/2231
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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