CAD Models for Coplanar Waveguide Synthesis using Artificial Neural Network

This paper presents Artificial neural network based synthesis models for Coplanar waveguide (CPW) suitable for Computer aided-design (CAD) applications. The CPW synthesis models were basically developed by training the neural network with the numerical results of quasi-static analysis. The developed...

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Bibliographic Details
Published in:Technical review - IETE 2001-03, Vol.18 (2-3), p.123-129
Main Authors: Salivahanan, S, Ramesh, R, Karthikeyan, S, Raju, S, Abhaikumar, V
Format: Article
Language:English
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Summary:This paper presents Artificial neural network based synthesis models for Coplanar waveguide (CPW) suitable for Computer aided-design (CAD) applications. The CPW synthesis models were basically developed by training the neural network with the numerical results of quasi-static analysis. The developed models have been validated and the correlations between the results of developed models and quasi-static analysis results are greater than 0.999938 for each modeled parameters. The results presented indicate that the developed models retain the accuracy of the quasi-static analysis. The proposed approach is capable of providing accurate and efficient CAD models for synthesis of microwave and millimeter-wave components for which accurate analysis results are available whereas synthesis models are not available or are not accurate over the desired range of operation.
ISSN:0256-4602
0974-5971
DOI:10.1080/02564602.2001.11416953