基于神经网络的波美度软测量

Neural Network Based Soft Measurement of Baume Scale

采用前向神经网络建模的软测量方法 ,对造纸过程制浆工段的黑液波美度进行测量。经仿真和实际运行表明 ,该软测量模型对受诸多因素影响且呈非线性关系的波美度测量 ,具有稳定性好、测量精度较高和实时性好等特点。

By adopting the method of soft measurement with Feed forward neural network modeling, the black liquid Baume scale of pulping section in papermaking process has been measured. The results of simulation and practical operation show that the model of soft measurement offers good stabiligy, high accuracy in real time to Baume scale measurement which is affected in non-linear by various factors. Key words Soft measurement Baume scale Feed forward neural network