Research on the nonlinear emendation of pressure sensor based on the genetic wavelet neural network

In order to emendate the nonlinear characteristic of the pressure sensor caused by the impact of non-object parameters. The wavelet neural network was used in the nonlinear emendation. Genetic algorithm was introduced to optimize the parameters , and the genetic wavelet neural network was put forward. The higher accuracy and faster speed was obtained. The simulation of pressure sensor shows that this system successfully eliminated the impact of non-object parameters and reflect the plant accurately and entirely. The precision and veracity of pressure sensor was increased. The system is also practicable for other type of sensor and other similar systems. The system is simple and suitable for engineering use and has its practical value.