Improving Neural Networks Sensitivity Extraction of Electromagnetic Devices

Abstract

This paper applies the parallel layer perceptron network trained with the minimum gradient method (PLP-MGM) to the problem of sensitivity extraction of electromagnetic devices. The networks trained with the MGM are less dependent of user's defined parameters, as, for instance, the number of neurons. Some results are presented considering the sensitivity extraction of a loudspeaker magnet assembly, and they show the effectiveness of the proposed approach