An Identification Method of Flight Data Model Based on Dynamic Fuzzy Neural Network
Mao Hong-bao · Journal of Air Force Engineering University · 2006
With regard to the characteristics of flight data,a new identification method of flight data model based on dynamic fuzzy neural network is presented.By on-line learning,the proposed DFNN is learned for a compact network with better generalization ability.The network structure is learned by means of adding or pruning a new neuron,furthermore,the linear parameters as network weights are gained based on the recursive least squares algorithm.Through a great number of observations in a certain sortie,the DFNN method is applied to the identification of the association model of flight data.The test results show that the method is of faster constringency and better generalization.