DocumentCode
2708370
Title
Application of the neural network optical fiber temperature sensor probe design used in medical treatment
Author
Jiusheng, Li ; Zhenwu, Bao
Author_Institution
Coll. of Electron. Inf. Eng., Tianjin Univ., China
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
389
Abstract
BP and RBF neural network methods have been used to design optical fiber temperature sensor probe used in medical treatment. Datum trained for neural network is gained from experiment and interpolation. This method has the characteristics of accuracy credibility and knowledge-aid design, which can save the device cost of design and decrease period of design. This way has a good prospect of application.
Keywords
biomedical equipment; fibre optic sensors; intelligent design assistants; interpolation; medical computing; patient treatment; radial basis function networks; temperature sensors; RBF neural network methods; accuracy credibility; knowledge-aid design; medical treatment; optical fiber temperature sensor probe design; Cancer; Intelligent networks; Medical treatment; Neural networks; Optical design; Optical fibers; Probes; Refractive index; Temperature measurement; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279291
Filename
1279291
Link To Document