利用先验知识和神经网络黑箱建模相结合，对一类复杂滞后非线性系统进行了杂交建模研究。
Hybrid modeling for a kind of nonlinear system with hysteresis is studied, which combined prior knowledge with neural networks black-box modeling.
为了解决聚合产品分子量分布控制的难题，将神经网络引入对其进行了无需任何系统内部先验知识的黑箱建模。
For solving the difficulty in the control of molecular weight distribution (MWD) of polymer product, MWD via neural network without any transcendental information is modelled.
本文研究弱非线性动态系统“黑箱”建模的理论和方法，并简要给出根据此方法建模的结果。
The modeling theory and method of black box 'for weakly dynamic nonlinear systems are studied and the modeling results for the practical systems are also presented in the paper.
本文研究弱非线性动态系统“黑箱”建模的理论和方法，并简要给出根据此方法建模的结果。
The modeling theory and method of black box 'for weakly dynamic nonlinear systems are studied and the modeling results for the practical systems are also presented in the paper.
应用推荐