Raol, JR and Ramesh, SV and Kavitha, B (1993) Parameter estimation of state space models by hopfield neural network. Technical Report. National Aeronautical Laboratory, Bangalore, India.
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Abstract
In this document the analysis and results of application13; of Hopfield Neural Network for estimation of state space13; models are given. The numerical validation results are generated for three case studies, one of them being for 20 parameters. The convergence of the algorithm has been found to be very good13;
| Item Type: | Proj.Doc/Technical Report (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Parameter estimation;Hopfield neural network;State space model |
| Subjects: | MATHEMATICAL AND COMPUTER SCIENCES > Cybernetics, Artificial Intelligence and Robotics AERONAUTICS > Aerodynamics |
| Division/Department: | Flight Mechanics and Control Division, Flight Mechanics and Control Division, Flight Mechanics and Control Division |
| Depositing User: | Mrs Neetu Chandra |
| Date Deposited: | 04 Jul 2006 |
| Last Modified: | 24 May 2010 09:44 |
| URI: | http://nal-ir.nal.res.in/id/eprint/1838 |
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