Indian Journal of Science and Technology

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Artificial neural networks (ANNs) has been a promising tool for microwave modeling, simulation and optimization. In this paper we present the estimation of characteristic parameters of top shielded multilayer coplanar wave-guides(MPCWs) using ANN model. For training the model is done with Levenberg-Marquardt algorithm. Our result shows that the neural network successfully calculates characteristic parameters of top shielded Microwave coplanar waveguides with the high accuracy (error is just about 0.05%). Using these models one can calculate effective relative permitivity and the characteristic impedance of the top shielded MCPWs without possessing strong background knowledge. Even if training takes a few minutes, the test process only takes a few microseconds to produce εeff and Z0 after training. It should also be emphasized that both parameters can be determined from one neural model.

Keywords

Coplanar Waveguides, Artificial Neural Networks (ANNs)
User