Thus obtains the use neural network method in the simulation the modeling is one effective method, is specially better regarding the non-linear complex system effect.
从而得出利用神经网络方法在仿真中建模是一种行之有效的方法，特别是对于非线性复杂系统效果更佳。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
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。
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