An Optical Fiber Displacement Sensor Based on RBF Neural Network

An optical fiber displacement sensor based on Radial Basis Function neural network is proposed for enhancing accuracy and linear range. A Nearest Neighbor Clustering algorithm suitable for training RBF neural network in optical fiber displacement sensor is studied and implemented. The work method and process of sensor are described. Experimental results show that neural network method has higher precision for light power compensation than the ratio method, but also realizes nonlinear correction of sensor output characteristics simultaneously.