2008 Asia-Pacific Microwave Conference 2008
DOI: 10.1109/apmc.2008.4958620
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A CAD approach based on artificial neural networks for conductor- backed edge coupled coplanar waveguides

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Cited by 1 publication
(2 citation statements)
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“…From the capacitance value, the effective dielectric constant, characteristics impedance, coupling coefficient and mode-velocity ratio are obtained. The odd-even mode effective dielectric constant ε eff ,A and the characteristics impedance Z 0,A is given by [11,12] …”
Section: Conductor Backed Edge Coupled Cpw (Cb-eccpw)mentioning
confidence: 99%
See 1 more Smart Citation
“…From the capacitance value, the effective dielectric constant, characteristics impedance, coupling coefficient and mode-velocity ratio are obtained. The odd-even mode effective dielectric constant ε eff ,A and the characteristics impedance Z 0,A is given by [11,12] …”
Section: Conductor Backed Edge Coupled Cpw (Cb-eccpw)mentioning
confidence: 99%
“…Such closed-form design equations obtained by CMT method, which is the simplest & most often used quasi-static method, consists of complete elliptic integrals which are difficult to calculate even with computers. For this reason, the artificial neural networks recently gained attention as a fast and flexible tool to microwave modeling and design [11]. Neural network modeling is relatively new to the microwave community.…”
Section: Introductionmentioning
confidence: 99%