Neural network based characterizing parameters of coplanar waveguides
نویسندگان
چکیده
منابع مشابه
Multilayer perceptron neural networks to compute quasistatic parameters of asymmetric coplanar waveguides
Arti3cial neural networks (ANNs) have recently gained attention as fast and 5exible vehicles to microwave modeling, simulation, and optimization. In this study, ANNs, based on the multilayer perceptron, were presented for accurate computation of the quasistatic parameters of asymmetric coplanar waveguides (ACPWs). Multilayer perceptron neural networks (MLPNNs) were trained with backpropagation,...
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Artificial neural networks (ANNs) have been promising tools for many applications. In recent years, a computer-aided design approach based on (ANNs) has been introduced to microwave modelling, simulation and optimization. In this work, the characteristic parameters of top shielded multilayered coplanar waveguides (CPWs) have been determined with the use of ANN models. These neural models were t...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2010
ISSN: 0974-6846,0974-5645
DOI: 10.17485/ijst/2010/v3i3.16