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This paper deals with many different neural network architectures that have been introduced to simulate the electromagnetic behavior of complex microwave devices and antennas. Many issues linked to the peculiarities of such devices are addressed. Furthermore, the inverse problem of designing a microwave device, once the required characteristics are given, is also developed by using a neural network approach. © 2002 John Wiley & Sons, Inc. Int J RF and Microwave CAE 12: 90–97, 2002. [ABSTRACT FROM AUTHOR]

A straightforward method for the design of microwave filtering devices by using neural networks is proposed. Starting from the filter requirements, this technique is able to perform the synthesis of microwave filters with good accuracy and high computational efficiency. The neural-network training set is generated by applying the finite-element (FE) approach. © 1998 John Wiley & Sons, Inc. Microwave Opt Technol Lett 19: 36–38, 1998. [ABSTRACT FROM AUTHOR]