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FNN在飞行仿真器建模中的应用研究
引用本文:刘俊强,伞冶,张为平,宣宝山. FNN在飞行仿真器建模中的应用研究[J]. 哈尔滨工业大学学报, 1996, 0(6)
作者姓名:刘俊强  伞冶  张为平  宣宝山
作者单位:中国计量学院
摘    要:提出了一种新的建模方法.该方法通过FNN的自学习.自动得到模型结构和模型参数,具有较快的学习速度和较高的精度.该方法成功地应用于某歼击机型飞机的仿真模型开发,取得了很好的效果.

关 键 词:模糊神经网络(FNN);梯度下降;学习算法;建模

A Practical Study on Fuzzy Neural Networks in Flight Simulator
Liu Junqiang,San Ye, Zhang Weiping,Xuan Baoshan. A Practical Study on Fuzzy Neural Networks in Flight Simulator[J]. Journal of Harbin Institute of Technology, 1996, 0(6)
Authors:Liu Junqiang  San Ye   Zhang Weiping  Xuan Baoshan
Affiliation:Liu Junqiang;San Ye; Zhang Weiping;Xuan Baoshan(Simulation Center)(China Measurement College)
Abstract:A new kind of modelling method is proposed in this paper.Based on the FNN's self-learning capacity,the model's structure and coefficients can be obtained automatically.The algorithm is shown to have a high speed of learning and satisfactory accuracy.The method has been applied to develop a fighter plane's simulation model and good results are obtained.
Keywords:Fuzzy neural networks(FNN)  gradient descent technique  learning algorithm  modelling
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