摘要
将改进的自组织神经网络的辨识算法 ,与预测控制理论相结合 ,应用于发酵过程的建模与控制中 改进的建模方法大大提高了算法的收敛速度 ,基于该算法的预测控制方案在发酵过程的非线性控制中 。
Used the improved identification algorithm of self-organizing neural networks Its convergent speed has been raised largely Combined the modeling method with the general predictive control,and also given superior performance of control in the fermentation processes
基金
山东省自然科学基金资助 (编号 :Q99B0 1 )
