基于BP神经网络的压力传感器非线性校正方法

Nonlinear errors correction method of pressure sensor based on BP neural network

采用BP多层前馈神经网络及其改进算法对传感器特性进行补偿,有效地改善了BP传统算法收敛慢、容易收敛到局部最小点的缺陷,并编制了训练程序.结果表明,经BP改进算法处理后,传感器性能大幅度改善,网络的收敛速度更快,精度更高.

BP neutral network and its improved algorithms are applied to compensate sensor＇s performance. The defects of BP, for example, converging slowly, being easy to converge to minimum of one part are improved elficiently. Training programs are done. Results show that the performance of sensor is improved highly. Network has a high converging speed and good precision.