基于神经网络的变位储油罐罐容表标定

The Calibration of Tank Capacity Table by Neural Network

用数学建模方法研究了变位储油罐罐容表的重新标定问题.通过建立神经网络数学模型,对变位储油罐罐容表进行了重新标定,并利用扰动分析法对模型稳定性进行检验.结果表明,该方法计算误差小、稳定性好,易于应用与推广.

The Re-calibration of tank capacity table problem were studied by mathematical modeling methods . Tank capacity table is re-calibrated by creating a radial basis function neural network. Secondly, the use of perturbation analysis is to test the model stability. The results show that the proposed method of calculation error is small, good stability, ease of application and promotion.