Title :
An intelligent system for design optimization of electromagnetic devices
Author :
Mohammed, Osama A. ; Merchant, Riaz ; Üler, Fuat G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
fDate :
9/1/1994 12:00:00 AM
Abstract :
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
Keywords :
Hopfield neural nets; backpropagation; electromagnetic devices; expert systems; finite element analysis; intelligent design assistants; optimisation; adaptive algorithm; back-propagation neural network; design optimization; dynamic environment; electromagnetic devices; finite element solutions; intelligent system; optimal designs; optimization functions; optimizing Hopfield net; Artificial neural networks; Design optimization; Electromagnetic devices; Equations; Finite element methods; Geometry; Intelligent systems; Neural networks; Simulated annealing; Testing;
Journal_Title :
Magnetics, IEEE Transactions on
