Aspects of Feed Forward Neural Network Modeling and its Application to Lateral-Directional Flight Data

Basappa, - and Jategaonkar, RV (1995) Aspects of Feed Forward Neural Network Modeling and its Application to Lateral-Directional Flight Data. Technical Report. National Aerospace Laboratories, Bangalore, India.

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    Abstract

    In depth investigations are carried out on a typical flight data to understand the various aspects of FFNN as a tool for aerodynamic modeling. Based on the study.carried out the optimal values and ranges of FFNN tuning parameters for further FFNN application have been evolved. The lateral-directional responses of two transport aircraft: C-160 and ATTAS are modeled using FFNN and the 13; applicability to the flight data has been established.

    Item Type: Proj.Doc/Technical Report (Technical Report)
    Uncontrolled Keywords: Feed Forward Neural Networks;Modeling;Validation;Lateral-Directional Flight data
    Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
    AERONAUTICS > Aerodynamics
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: Mrs Neetu Chandra
    Date Deposited: 26 May 2006
    Last Modified: 24 May 2010 09:41
    URI: http://nal-ir.nal.res.in/id/eprint/1375

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