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改进的Elman网络与机理模型的互补建模方法
引用本文:陈晓东,马广富,王子才.改进的Elman网络与机理模型的互补建模方法[J].系统仿真学报,1999,11(2):97-100.
作者姓名:陈晓东  马广富  王子才
作者单位:哈尔滨工业大学126#,哈尔滨150001
摘    要:利用一种改进的Elman动态神经网络,并结合系统的机理模型,给出了一种适用于在线仿真的互补建模方法。 本方法的实现复杂大系统的在线仿真提供了一个理想的建模途径。

关 键 词:神经网络  机理模型  建模  Elman网络  系统仿真

A Mutually Compensatory Modeling Method Based on Mechanism Model and Improved Elman Network
CHEN Xiao-dong,MA Guang-fu,WANG Zi-cai.A Mutually Compensatory Modeling Method Based on Mechanism Model and Improved Elman Network[J].Journal of System Simulation,1999,11(2):97-100.
Authors:CHEN Xiao-dong  MA Guang-fu  WANG Zi-cai
Abstract:This paper presents a modeling method on line which makes use of the Improved Elman Network to compensate a system mechanism model. Simulation results in a real engineering project show that the model based on the modeling method can represent dynamic performances of the system in real time and good precision. This method offers an ideal way of modeling on line simulation for complex systems.
Keywords:neural network  mechanism model  modeling method
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