Applications of knowledge-based artificial neural network modeling to microwave components.

This paper expands upon reported methods for utilizing prior knowledge for reducing complexity of input–output relationships that an ANN must learn. Previously, two simple methods, difference method and prior knowledge input method, were demonstrated for new model developments. This paper utilizes knowledge-based modeling techniques for novel microwave modeling applications. ©1999 John Wiley & Sons, Inc. Int J RF and Microwave CAE 9: 254–260, 1999. [ABSTRACT FROM AUTHOR]