NDLI: Neural network for flight training intelligent evaluation

Content Provider	IEEE Xplore Digital Library
Author	Shan Ding Fan Ding DeHui Yang Shi Zhang
Copyright Year	2008
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang (Shan Ding)
Abstract	Flight simulation and flight training data intelligent evaluation have been used wildly in pilots training. This paper is based on DirectX technology under a certain type of aircraft 3D model, implemented a type of aircraft flight simulation platform. Based on this platform, we simulated actual flight courses and obtained flight data from a special flight course. According to expertpsilas and special-class pilotpsilas flying experience, we extracted feature vectors as key parameters, and input them into a neural network model. After the neural network learning, more accurate flight evaluation results can be achieved. The algorithm greatly improves the efficiency of flight training data evaluation, reduces the man-made errors, corrects the deviation of the flight, and increases levels of pilotpsilas flight training. Considering slow convergence of BP neural network, calculated results affected by the initial value, poor stability, easy defects such as a local minimum, we applied L-M algorithm instead of gradient descent algorithm to neural network training. The establishment of the L-M algorithm based on the flight simulation data model has been developed. The research shows that results that are generated by L-M model are significantly better than the other three layers BP neural network models.
Starting Page	3954
Ending Page	3959
File Size	549244
Page Count	6
File Format	PDF
ISBN	9781424417339
DOI	10.1109/CCDC.2008.4598074
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Three layers Back-ProPagation network Flight subjects intelligent evaluation Levenberg-Marquardt algorithm Flight simulation
Content Type	Text
Resource Type	Article

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