Single black-box models for two-point non-invasive temperature prediction
In this paper the performance of a genetically selected radial basis functions neural network is evaluated for non-invasive two-point temperature estimation in a homogeneous medium, irradiated by therapeutic ultrasound at physiotherapeutic levels. In this work a single neural network was assigned to...
Autor principal: | |
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Outros Autores: | , , , |
Formato: | conferenceObject |
Idioma: | eng |
Publicado em: |
2013
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Assuntos: | |
Texto completo: | http://hdl.handle.net/10400.1/2241 |
País: | Portugal |
Oai: | oai:sapientia.ualg.pt:10400.1/2241 |