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- Title
Efficient Neural Network Modeling for Flight and Space Dynamics Simulation.
- Authors
Kassem, Ayman Hamdy
- Abstract
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.
- Subjects
ARTIFICIAL neural networks; MATHEMATICAL models; SPACE vehicle dynamics; LINEAR systems; FLIGHT; TRAINING; NONLINEAR systems
- Publication
International Journal of Aerospace Engineering, 2011, p1
- ISSN
1687-5966
- Publication type
Article
- DOI
10.1155/2011/247294