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Analysis and synthesis of coplanar waveguide feed used in planar antennas have been proposed. Neural network-I has been proposed to analyze the coplanar waveguide feed. It dispenses the use of very long and complex formulae. Neural model-II has been proposed to remove the problems in conventional approach. It synthesizes, even if the dielectric constant is less than 6, unlike the previous approach...
To apply laser forming process in reality, it is required to know the relationships between the deformed shape and scanning paths along with heating conditions. The deformation due to laser scanning depends on various factors, namely laser power, scan speed, spot diameter, scan position, number of scans, and many others. This article presents soft computing-based methods to predict deformations for...
This study introduces an original theoretical approach for rectangular microstrip antennas analysis and design. The purpose method consists in the coupling between artificial neural networks tool applied to the analysis of rectangular antennas and a tabu search for the optimization. A neural network acting as database will allow to reduce strongly the computation time. This method will be illustrated...
Neural networks recently gained attention as fast and flexible vehicles to microwave modeling, simulation and optimization. After learning and abstracting from microwave data, through a process called training, neural network models are used during microwave design to provide instant answers to the task learned. This paper presents simple and accurate ANN models for the analysis and synthesis of CPS...
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