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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。
RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.
混沌系统的建模与辨识是混沌控制的基础。
Modeling and identifying chaotic system is the basis of chaos control.
本文采用机理分析与系统辨识相结合的方法，对预混点燃式气体燃料发动机进行了深入细致的建模研究。
This paper studied the models of pre-mixed spark ignition gas engine particularly, which adopted the method of mechanism analysis and system identification.
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