Title :
An approach for knowledge-aided-design (KAD) of microwave circuits using artificial neural networks
Author :
Zingg, R. ; Gupta, K.C.
Author_Institution :
Colorado Univ., Boulder, CO, USA
Abstract :
This paper points out that appropriately trained artificial neural networks can be used to develop knowledge-aided-design (KAD) modules for RF and microwave design. The approach is illustrated by examples of the reflection type and the loaded line type phase shifters. It also is applicable to other types of circuits and subsystems. KAD modules were developed and verified by using available microwave CAD software.
Keywords :
UHF circuits; UHF phase shifters; circuit CAD; knowledge based systems; microwave circuits; microwave phase shifters; neural nets; RF design; artificial neural networks; knowledge-aided-design; loaded line type; microwave CAD; microwave circuits; phase shifters; reflection type; Artificial neural networks; Computer aided analysis; Design automation; Design optimization; Microwave circuits; Neural networks; Phase shifters; Process design; Radio frequency; Reflection;
Conference_Titel :
Microwave Symposium Digest, 2001 IEEE MTT-S International
Conference_Location :
Phoenix, AZ, USA
Print_ISBN :
0-7803-6538-0
DOI :
10.1109/MWSYM.2001.967063
