RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.
R BF神经网络以其计算量小，学习速度快，不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。
On the basis of electrical connect graph drawn, the generally used method of graphic modeling of power system and the automatically identification of power network topology structure are studied.
研究了基于所绘电气接线图的电力系统通用的图形化建模方法，以及电网拓扑结构的自动识别。
From the linearization procedure, a new approach of system identification that is on-line real time modeling and real time feedback control correction can be found.
但研究发现，在这种线性化过程中，包含了一种新的系统辨识思想，那就是在线实时建模一实时反馈控制校正的思想。
应用推荐