Non-invasive time-spatial temperature simulation using neural networks

In this paper the performance of radial basis functions neural networks is accessed for non-invasive time-spatial temperature simulation in a gel-based phantom. The medium was heated at different intensities with a physiotherapeutic ultrasound device. In order to find an appropriate neural network s...

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Bibliographic Details
Main Author: Teixeira, C. A. (author)
Other Authors: Ruano, M. Graça (author), Ruano, Antonio (author), Pereira, W. C. A. (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Temperature profiles
Temperature control
Neural networks-models
Radial base function networks
Multiobjective optimisation
Online Access:http://hdl.handle.net/10400.1/2248
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2248

Internet

http://hdl.handle.net/10400.1/2248

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