The use of artificial neural network to design and fabricate one of the most compact microstrip diplexers for broadband L-band and S-band wireless applications

In this paper, a computational intelligence method based on artificial neural network (ANN) is used to design and fabricate a high-performance microstrip diplexer. For a novel basic bandpass filter we have developed an ANN model with S-parameters and group delay (GD) as the outputs and frequency, substrate type, substrate thickness and physical dimensions as the inputs. Using the multilayer perceptron neural network trained with back-propagation...