Abstract
A Neural Network (NN) model of a human operation is tried to construct to analyze pilot behavior. The flight data obtained by simulator operation are utilized to teach the NN model. The input data to the model are visual cues from the cockpit and the pilot column deflection history, and the output is the elevator angle. The Genetic Algorithms (GA) optimizes the NN model in order to obtain the appropriate structure and its parameters. It can be seen that the sensitivity analysis and the threshold analysis of the obtained NN model reveal the human pilot behavior.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
