【摘要】 分析光杠杆法测量金属线胀系数实验的误差及误差产生原因,发现温度变化与刻度间隔并非线性变化.对比传统误差分析方法,利用神经网络非线性映射能力,对实验数据进行误差补偿分析,均方根误差达到0.000 01,消除非线性影响,误差降低.更多还原

【Abstract】 This paper analyzes the factors that influence the measure of the metal linear coefficient of expansion in light lever experiment and finds that calibration is nonlinear variation with temperature changing.Artificial neural network(ANN) has more abilities to learning and highly nonlinear reflecting than other traditional method.It is used to error compensation and analysis for experiment,and the simulation result obtained shows that the method is feasible and the calculation is precise.更多还原