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
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;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279291
