摘要
针对SMB色谱分离过程中组分纯度的实时测量存在困难的现状,建立了两组分(葡萄糖、果糖)纯度的在线软测量模型。软测量模型采用NNARMAX模型作为模型辨识类;采用BP神经网络对模型进行逼近,为加快网络收敛速度,采用Levenberg-Marquardt算法对网络进行训练。在Matlab工作平台上进行了大量的仿真,对该模型进行验证,仿真结果证明了该方法的有效性。
In order to realize the purity measurement in SMB separating process, an online soft measurement sensor which measures two components purity is built up. The soft measurement model is realized by BP neural network approximating a NNARMAX model. Levenberg-Marquardt training algorithm is applied to fast convergence. Much computer simulation on Matlab validates this method.
出处
《计算机测量与控制》
CSCD
2005年第1期21-23,共3页
Computer Measurement &Control
基金
轻工总会科技基金资助项目(轻科95064)国家技术创新计划资助项目(02CJ-05-05-05)
