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An intelligent system for design optimization of electromagnetic devices

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3 Author(s)
Mohammed, O.A. ; Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA ; Merchant, R. ; Uler, F.G.

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

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Magnetics, IEEE Transactions on  (Volume:30 ,  Issue: 5 )