An intelligent system for design optimization of electromagnetic devices

An intelligent system for design optimization of electromagnetic devices

An intelligent system for the design optimization of electromagnetic devices is presented. The system comprises a back-propagation neural network in conjunction with an optimizing Hopfield Net for performing search and optimization functions. An adaptive algorithm is used to improve the response of...

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Veröffentlicht in:IEEE transactions on magnetics 1994-09, Vol.30 (5), p.3633-3636
Hauptverfasser: Mohammed, O.A., Merchant, R., Uler, F.G.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Artificial neural networks
Computer science
control theory
systems
Connectionism. Neural networks
Design optimization
Electromagnetic devices
Equations
Exact sciences and technology
Finite element methods
Geometry
Intelligent systems
Neural networks
Simulated annealing
Testing
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Beschreibung
Zusammenfassung:An intelligent system for the design optimization of electromagnetic devices is presented. The system comprises a back-propagation neural network in conjunction with an optimizing Hopfield Net for performing search and optimization functions. An adaptive algorithm is used to improve the response of the system in a dynamic environment. Data can be input by an experienced designer in addition to a case generator from the finite element (FE) solutions. Optimal designs are obtained quickly once the artificial neural network (ANN) is trained with a variety of topologies. Results of implemented examples are provided to show the effectiveness of the proposed system.< >
ISSN:0018-9464
1941-0069
DOI:10.1109/20.312727