CAD Models for Coplanar Waveguide Synthesis using Artificial Neural Network

Very accurate and simple CAD models based on neural networks for coplanar waveguide synthesis

“…CAD models for CPW synthesis using ANNs were introduced for the first time by Salivahanan and et al [27]. These neural models for CPW synthesis [27] have some disadvantages.…”

“…CAD models for CPW synthesis using ANNs were introduced for the first time by Salivahanan and et al [27]. These neural models for CPW synthesis [27] have some disadvantages. First of all, these models have very narrow range of usage for CPW synthesis because the ranges of design parameters are 2 Յ r Յ 10, 0.1 Յ S/h Յ 10, and 0.1 Յ W/h Յ 1.0.…”

“…Learning and generalization abilities and fast real-time operation features have made ANNs popular in the last decade. Analysis [19 -25] and synthesis CAD models [26,27] based on neural networks have been proposed for various coplanar transmission lines in recent years. In these applications, ANNs have more general functional forms and are usually better than the classical techniques; also, they provide simplicity in real-time operation.…”

Multilayer Perceptron Neural Analysis of Edge Coupled and Conductor-Backed Edge Coupled Coplanar Waveguides

“…They have been the most studied transmission lines because of their several advantages over conventional micro strips for MMICs [1]. These include ease of parallel and series insertion of both active and passive components and high circuit density, drilling of holes or slots through the substrate is not needed [2], low radiation, low dispersion and avoidance of need for thin fragile substrates [3]. The field of CPWs are less confined than those of microstrip lines, thereby increasing sensitivity to environmental constraint such as conductor backing and line to line coupling [4].…”

Neural Models for Coplanar Strip Line Synthesis

“…ANN is a very powerful approach for building complex and nonlinear relationship between a set of input and output data [13]. Analysis [14][15][16][17][18][19][20] and synthesis models [21][22][23][24] based on ANNs have been presented for various coplanar transmission lines. In these applications, ANNs have more general functional forms and are usually better than the classical techniques; also, they provide simplicity in real-time operation.…”