Efficient Neural Network Modeling for Flight and Space Dynamics Simulation
Author
Source
International Journal of Aerospace Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
This paper represents an efficient technique for neural network modeling of flight and space dynamics simulation.
The technique will free the neural network designer from guessing the size and structure for the required neural network model and will help to minimize the number of neurons.
For linear flight/space dynamics systems, the technique can find the network weights and biases directly by solving a system of linear equations without the need for training.
Nonlinear flight dynamic systems can be easily modeled by training its linearized models keeping the same network structure.
The training is fast, as it uses the linear system knowledge to speed up the training process.
The technique is tested on different flight/space dynamic models and showed promising results.
American Psychological Association (APA)
Kassem, Ayman Hamdy. 2011. Efficient Neural Network Modeling for Flight and Space Dynamics Simulation. International Journal of Aerospace Engineering،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-457081
Modern Language Association (MLA)
Kassem, Ayman Hamdy. Efficient Neural Network Modeling for Flight and Space Dynamics Simulation. International Journal of Aerospace Engineering No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-457081
American Medical Association (AMA)
Kassem, Ayman Hamdy. Efficient Neural Network Modeling for Flight and Space Dynamics Simulation. International Journal of Aerospace Engineering. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-457081
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-457081