ANN inverse mapping technique applied to electromagnetic design

This paper examines the use of inverse mapping for the design of electromag netic devices whose performance is described by an artificial neural networ k (ANN). In cases where the function describing the inverse problem is ill- conditioned, it may be very difficult to train a neural network to learn th e inverse problem. In these cases, an iterative method based on an inverse mapping technique may be employed. When provided with the desired output ve ctor, this method uses backpropagation to train (solve) for the unknown par ameters in the input vector. The results of using the ANN based inverse map ping approach in the design optimization of a hollow transmission line are presented.