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
Artificial intelligence–based design optimization of nonuniform microstrip line band pass filter
TL;DR: A surrogate‐based model of a nonuniform microstrip transmission line (NTL) with a typical application of design optimization of a band‐pass filter for ISM band application using deep learning (DL) and meta‐heuristic optimization has been presented.
Journal ArticleDOI
Application of the NARX neural network as a digital predistortion technique for linearizing microwave power amplifiers
Lina Maria Aguilar-Lobo,José Raúl Loo-Yau,Jose E. Rayas-Sanchez,Susana Ortega-Cisneros,Pablo Moreno,J. A. Reynoso-Hernandez +5 more
TL;DR: A digital predistortion (DPD) scheme to linearize power amplifiers (PAs) using a recurrent neural network called Nonlinear AutoRegressive with eXogenous input model (NARX) neural network (N ARXNN), based on a class of discrete‐time nonlinear system named NARX.
Journal ArticleDOI
Space Mapping-Have You Ever Wondered About the Engineer's Mysterious \"Feel\" for a Problem? [Speaker's Corner]
TL;DR: Chen's approach encapsulates the engineer's mysterious "feel" for a problem-an issue that had dogged my 30-year immersion in the art and science of optimization for computer-oriented engineering design as discussed by the authors.
Journal IssueDOI
Space mapping algorithm with improved convergence properties for microwave design optimization
Slawomir Koziel,John W. Bandler +1 more
TL;DR: This article investigates some techniques for improving the convergence properties of the space mapping algorithm, which are based on the general convergence results for such algorithms.
Journal ArticleDOI
Interpolated Coarse Models for Microwave Design Optimization With Space Mapping
Slawomir Koziel,John W. Bandler +1 more
TL;DR: An interpolation technique is used, which allows us to create coarse models that are both accurate and cheap, and overcomes the accuracy/cost dilemma described above, permitting significant reduction of the space-mapping optimization time.
References
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