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Hadap, A.
- Neural Network Based Characterizing Parameters of Coplanar Waveguides
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1 Terna Engineering College , Plot No 2, Sector 22, Phase 2, Nerul Navi Mumbai-400706, IN
1 Terna Engineering College , Plot No 2, Sector 22, Phase 2, Nerul Navi Mumbai-400706, IN
Source
Indian Journal of Science and Technology, Vol 3, No 3 (2010), Pagination: 243-247Abstract
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)References
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