In accordance with the nonlinear problem of sensors

the principle for correcting the nonlinear of sensors with a neural network is introduced

correction model

algorithm and realized method are presented based on adaptive genetic algorithm.The results of experiment show that not only the method can correct the nonlinearity and diminish the effect of environmental factors

but also the precision after correcting is better than simple neural network model’s.