The Nonlinear Correction of Methane Sensor Based on Neural Network

The nonlinear correction method of methane sensor based on improved BP neural network was introduced,which approached inverse nonlinear function to finish the nonlinear correction by use of nonlinear mapping ability of neural network.The experimental results showed that the improved neural network has quick convergence rate and high approaching precision, the accuracy of the sensor could be greatly increased from(±5.02%) to(±0.130%) compared with traditional method of piecewise linear and BP algorithm.