介紹了用神經(jīng)網(wǎng)絡校正傳感器系統(tǒng)非線性誤差的原理和方法,提出了基于BP 神經(jīng)網(wǎng)絡傳感器非線性誤差校正及其模型、算法與實現(xiàn)技術。通過計算機仿真與應用,顯示出這種逆模型不但可實現(xiàn)溫度補償和非線性校正,而且網(wǎng)絡結(jié)構(gòu)簡單,準確度高。
關鍵詞:BP 神經(jīng)網(wǎng)絡; 傳感器; 非線性誤差; 校正
Abstract : The principle and the methods for correcting the nonlinear errors of the sensor system with a neural network are introduced. Nonlinear errors correction of sensors based on BP neural network ,which includes its model ,algorithm and realized techniques are presented. The results of computer simulations illustrate that not on2 ly the inverse modeling based on BP neural network can compensate the effect of the nonlinearity and tempera2 ture ,but also the construction of the neural network is simple and the precision is good.
Key words :BP(backpropagation) neural network ; sensors ; nonlinear errors ; correction