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．
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.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
1996年第6期89-92,共4页
Journal of Harbin Institute of Technology
关键词
模糊神经网络(FNN)
梯度下降
学习算法
建模
Fuzzy neural networks(FNN)
gradient descent technique
learning algorithm
modelling
