基于人工神经网络技术的光电信息检测研究  

The Research of Optical Information Inspection Based on Artificial Neural Network

作　　者：王立刚[1] 李晶晶[1] 建天成[1] 

机构地区：[1]东北石油大学电子科学学院,大庆163318

出　　处：《科学技术与工程》2011年第5期1084-1087,共4页Science Technology and Engineering

摘　　要：本文分析了引起光电检测系统非线性误差的因素。在基于光电二极管的光照度检测实验中,应用RBF人工神经网络对光信号和电信号进行非线性误差补偿,实现了在不同环境温度下,光信号与电信号的线性转换,有效地提高光照度检测的检测精度。The elements are analyzed which cause non-linear error of photoelectric detection system.On the experiment of illuminance measurement based on photodiode,RBF artificial neural network is applied to achieve non-linear compensation between light signal and electronic signal.This method can realize the linear transformation between them in the different environment temperature,and improve detection accuracy of illuminance measurement effectively.

关 键 词：光照度 RBF人工神经网络 光电二极管 

分 类 号：TN247[电子电信—物理电子学]