Artificial neural network models for the gap discontinuities in stripline circuits (vol 20, pg 669, 1999)

Gap discontinuities appear in many stripline circuits, such as the multilay er microwave monolithic ICs and the interconnect systems in high-speed digi tal circuits. In this paper, a multilayer perceptron neural network (MLPNN) is used to model the gap discontinuities in stripline circuits. The MLPNN is electromagnetically developed with a set of training data that are produ ced by the full-wave finite-difference time-domain (FDTD) method. The full- factor design of experiments is used for determining the size of the traini ng data.