New directions in model development for RF/microwave components utilizing artificial neural networks and space mapping

This paper presents advances in model development for RF/microwave components exploiting two powerful technologies: artificial neural networks (ANN) and space mapping (SM). We survey the fundamental issues on classical neuromodeling. We review some state-of-the-art neuromodeling techniques, emphasizing SM based neuromodeling techniques. We show how SM based neuromodels decrease the cost of training, improve generalization ability and reduce the complexity of the ANN topology w.r.t. the classical neuromodeling approach. We illustrate these novel approaches through a practical microwave modeling problem. We conclude by proposing some possible exciting future applications of ANN and SM in microwave CAD.