Nonlinear device modeling is an important area of computer-aided design for fast and accurate microwave design and optimization. The purpose of this thesis is to develop advanced modeling techniques for efficient generation of microwave device models. The proposed techniques combine the universal fitting capability of neural networks and the cost-effective optimization concept of space mapping, to achieve reliable device models for nonlinear circuit simulation and statistical design.Nonlinear device modeling is an important area of computer-aided design for fast and accurate microwave design and optimization.
Title | : | Neuro-space Mapping Technique for Microwave Device Modeling and Its Use in Circuit Simulation and Statistical Design |
Author | : | |
Publisher | : | ProQuest - 2008 |
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