摘要
分析了PSD的背景光非线性成因,并根据PSD的背景光非线性特点,提出了用神经网络的BP算法对PSD的背景光非线性进行了补偿,从而使PSD的背景光非线性获得了与线性近似的线性度.计算机仿真表明,该方法能有效地消除背景光的影响,在神经网络的输出端得到期望的线性输出.
Analyzed the causes of background light non-1inearity of PSD, and provided BP optimizations for nerve network to correct the background light non-linearity of PSD after pre-calibration.It is revealed from the computer simulation result that not only the influence of background light non-linear fluctuation can be eliminated effectively, but also a desired linear relationship between the sensor input and the neural network output can be obtained.
出处
《哈尔滨商业大学学报（自然科学版）》
CAS
2004年第1期50-52,共3页
Journal of Harbin University of Commerce：Natural Sciences Edition
基金
黑龙江省"十.五"科技攻关项目
