摘要
针对生物发酵过程中细胞浓度难以在线检测的问题,提出了基于人工神经元网络的软测量模型及一种改进的非线性BP算法,为复杂系统中参数的检测提供了一条有效途径。仿真结果表明了该方法的可行性和有效性。
This Paper presents the model of soft measurement based on Neural Net -work and a new nonlinear algorithm in that Online estimation of cell concentration in fermentation process is difficult.It can solve the problem of online parameter estimation in the complicated system.And the feasiblity of this method are shown by simulation experiments.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第21期223-224,共2页
Computer Engineering and Applications
基金
山西省自然科学基金(编号:20011032)
