Identification and assessment for landing action adjustment

Landing action adjustment is an important part of the flight. Operation of the landing process is very complex. Assessing the landing action adjustment with recording flight parameters using recording system is very important to guarantee security of pilots. However, assessing landing action adjustment was based on identification method. The use of fuzzy neural network theory determine the structure of the fuzzy neural network in lateral and longitudinal, then MATLAB is used to obtain landing adjustment of fuzzy neural network structure. The Alopex algorithm with landing adjustment simulation data and experts' data is used to correct the value of neural network. The value of neural network sent to the program of the fuzzy neural network, which can realize adjustment action identification in every moment. Then we got every period of adjustment action with clustering. Finally, it is turn out that the fuzzy neural network was valid.