Zobrazeno 1 - 10
of 102
pro vyhledávání: '"V.K. Devabhaktuni"'
Akademický článek
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Akademický článek
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Publikováno v:
International Journal of RF and Microwave Computer-Aided Engineering. 16:385-399
In this article, we develop an adjoint dynamic neural network (ADNN) technique aimed at enhancing computer-aided design (CAD) of high-speed VLSI modules. A novel formulation for exact sensitivities is achieved by defining an adjoint of a dynamic neur
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 51:1822-1833
In this paper, we propose an efficient knowledge-based automatic model generation (KAMG) technique aimed at generating microwave neural models of the highest possible accuracy using the fewest accurate data. The technique is comprehensively derived t
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 51:1339-1350
Neural-network computational modules have recently gained recognition as an unconventional and useful tool for RF and microwave modeling and design. Neural networks can be trained to learn the behavior of passive/active components/circuits. A trained
Akademický článek
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Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 49:2282-2291
For the first time, we propose a robust algorithm for automating the neural-network-based RF/microwave model development process. Starting with zero amount of training data and then proceeding with neural-network training in a stage-wise manner, the
Publikováno v:
International Journal of RF and Microwave Computer-Aided Engineering. 11:4-21
() ABSTRACT: Artificial neural networks ANN recently gained attention as a fast and flexible vehicle to microwave modeling and design. Fast neural models trained from measured simulated microwave data can be used during microwave design to provide in
Publikováno v:
International Journal of RF and Microwave Computer-Aided Engineering. 9:216-240
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
Publikováno v:
IEEE Microwave and Wireless Components Letters. 18:16-18
In this letter, we explore a general-purpose microstrip coupling model for computer aided design of new bandpass filters. The J-inverter topology of the model facilitates the study of coupling behaviours of different microstrip structures leading to