A Method of Error Compensation on Sensors Based on Neural Networks Algorithm

To improve the error compensation precision of sensors, a method of the error compensation of sensors based on the neural network algorithm is proposed. The convergence of the algorithm is researched. The theory gist to select learning rate is provided by the convergence theorem. To validate the validity of the algorithm, the simulation example of the error compensation of sensor was given. The result shows that the approach of the error compensation of sensors using the neural network algorithm has a very high accuracy. Thus, the method proposed is effective.