An approach for knowledge-aided-design (KAD) of microwave circuits using artificial neural networks

by: R Zingg, KC Gupta

Microwave Symposium Digest, 2001 IEEE MTT-S International, Vol. 2 (2001), pp. 1011-1014 vol.2.

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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

@inproceedings{citeulike:2801962, 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}, author = {Zingg, R. and Gupta, K. C. }, booktitle = {Microwave Symposium Digest, 2001 IEEE MTT-S International}, citeulike-article-id = {2801962}, doi = {10.1109/MWSYM.2001.967063}, journal = {Microwave Symposium Digest, 2001 IEEE MTT-S International}, keywords = {circuit, design, microwave, network, neural}, pages = {1011--1014 vol.2}, posted-at = {2008-05-15 16:10:30}, priority = {2}, title = {An approach for knowledge-aided-design (KAD) of microwave circuits using artificial neural networks}, url = {http://dx.doi.org/10.1109/MWSYM.2001.967063}, volume = {2}, year = {2001} }

RIS record

TY - CONF ID - citeulike:2801962 L3 - citeulike-article-id:2801962 TI - An approach for knowledge-aided-design (KAD) of microwave circuits using artificial neural networks T2 - Microwave Symposium Digest, 2001 IEEE MTT-S International JF - Microwave Symposium Digest, 2001 IEEE MTT-S International VL - 2 SP - 1011 EP - 1014 vol.2 N2 - 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 KW - circuit KW - design KW - microwave KW - network KW - neural AU - Zingg, R AU - Gupta, KC PY - 2001/// UR - http://dx.doi.org/10.1109/MWSYM.2001.967063 ER -

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