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Modeling and computer-aided design (CAD) techniques are essential for microwave design, especially with the drive towards first-pass design success. We have described neural networks for microwave modeling and design. Neural networks are suitable when modeling a required relationship for which analytical formulas are hard to derive, or for which the computational effort is too high. This relationship...
This paper describes a new technique for training microwave neural network models. The proposed technique combines quasi-Newton algorithm with a global optimization algorithm called particle swarm optimization (PSO). The quasi-Newton process for searching optimal solutions is incorporated into PSO to speed up local search, while the PSO performs global search avoid being trapped in local minima of...
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 characteristics parameters of edge coupled coplanar waveguides (CPWs) have been determined with the use of models. These neural models were trained with LM, BR, QN,...
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