摘要
本文针对Ｅｌｍａｎ 动态递归神经网络的特点，提出了一种基于Ｅｌｍａｎ 动态递归神经网络建立陀螺仪系统模型的方法。文中给出了Ｅｌｍａｎ 网络的网络结构和学习方法，并对建立起的网络模型进行了仿真，仿真结果表明，该方法是可行的。
In view of the properties of Elman dynamical recursive nerural network, an approach based on Elman dynamical recursive neural network to model the gyroscope system is presented in this paper. The structure of the network is given, the learning method is presented, and the model established using neural network is simulated. The simulation results show that this method is feasible.
出处
《中国惯性技术学报》
EI
CSCD
1999年第4期78-81,共4页
Journal of Chinese Inertial Technology
