Abstract
This paper presents an artificial neural network (ANN) approach for design optimization of an electromagnetic planar coil. Two parallel approaches are implemented. The first one is with radial basis function ANN used for objective function problem interpolation. The second one employs the ANN as an optimization problem parameters preselection. The ANN interpolation model applys, in a natural and effective way, an inverse algorithm as a solution of the electromagnetic device design problem. Further development of this optimization model can propose an efficient general solution to the electromagnetic device design problem from the same complexity class. The interpolation ANN model and optimization ANN control are both applied to the magnetic planar high frequency coil design. The results obtained show the effectiveness of the proposed optimization method.
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