Journal ArticleDOI
EM-based optimization of microwave circuits using artificial neural networks: the state-of-the-art
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Abstract:
This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and optimization of microwave circuits using artificial neural networks (ANNs). Measurement-based design of microwave circuits using ANNs is also reviewed. The conventional microwave neural optimization approach is surveyed, along with typical enhancing techniques, such as segmentation, decomposition, hierarchy, design of experiments, and clusterization. Innovative strategies for ANN-based design exploiting microwave knowledge are reviewed, including neural space-mapping methods. The problem of developing synthesis neural networks is treated. EM-based statistical analysis and yield optimization using neural networks is reviewed. The key issues in transient EM-based design using neural networks are summarized. The use of ANNs to speed up "global modeling" for EM-based design of monolithic microwave integrated circuits is briefly described. Future directions in ANN techniques to microwave design are suggested.read more
Citations
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Journal ArticleDOI
Space Mapping With Adaptive Response Correction for Microwave Design Optimization
TL;DR: An adaptive response correction scheme is presented to work in conjunction with space-mapping optimization algorithms and is designed to alleviate the difficulties of the standard output space mapping by adaptive adjustment of the response correction term according to the changes of thespace-mapped coarse model response.
Journal ArticleDOI
Power in Simplicity with ASM: Tracing the Aggressive Space Mapping Algorithm Over Two Decades of Development and Engineering Applications
TL;DR: The article goes on to review over two decades of ASM evolution, in terms not only of the theoretical contributions directly incorporated into the ASM algorithm but also of the most significant engineering applications documented for ASM to date.
Journal ArticleDOI
Accelerated Microwave Design Optimization With Tuning Space Mapping
TL;DR: The general tuning space-mapping algorithm is formulated, which is based on a so-called tuning model, as well as on a calibration process that translates the adjustment of the tuning model parameters into relevant updates of the design variables.
Journal ArticleDOI
High-Dimensional Global Optimization Method for High-Frequency Electronic Design
TL;DR: DPT-BO leverages a novel DPT that allows for rapid coverage of high-dimensional sample spaces and utilizes an additive Gaussian process (ADD-GP) with a fully additive decomposition, making it more suitable for high-frequency design optimization.
Journal ArticleDOI
Polynomial Chaos-Based Approach to Yield-Driven EM Optimization
TL;DR: The use of polynomial chaos (PC) approach from electromagnetic (EM)-based yield estimation to EM-based yield optimization of microwave structures is extended and the advantages are demonstrated by yield-driven EM optimization of three waveguide filter examples.
References
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Journal ArticleDOI
Optimal Global Rates of Convergence for Nonparametric Regression
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