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Proceedings Paper

Research on the application of the neural network in optical fiber temperature sensor probe design used in medical treatment
Author(s): Jiusheng Li; Zhenwu Bao
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Paper Abstract

Back Propagation (BP) and Radial Base Function (RBF) neural network methods have been used to design optical fiber temperature sensor probe which is used in medical treatment. Data trained for neural network are gained from experiment and interpolation. New kind of fiber optic temperature sensor with the best sensitivity was designed and made by the method. The selected design scheme is proved to be feasible in the experiment. This method has the characteristics of accuracy, credibility and knowledge-aid design, which are identified by the experiment. This way can save the device cost of design and decrease period of design, which has a good prospect of investigation and application.

Paper Details

Date Published: 8 December 2003
PDF: 6 pages
Proc. SPIE 5254, Third International Conference on Photonics and Imaging in Biology and Medicine, (8 December 2003); doi: 10.1117/12.546148
Show Author Affiliations
Jiusheng Li, Tianjin Univ. (China)
Zhenwu Bao, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 5254:
Third International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Valery V. Tuchin; Min Gu; Lihong V. Wang, Editor(s)

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