Application of the neural network optical fiber temperature sensor probe design used in medical treatment

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.