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Neural Networks for RF and Microwave Design

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Author :
Release : 2000
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Neural Networks for RF and Microwave Design by : Q. J. Zhang

Download or read book Neural Networks for RF and Microwave Design written by Q. J. Zhang. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt: Discover the new, unconventional alternatives for conquering RF and microwave design and modeling problems using neural networks -- information processing systems that can learn, generalize, and even allow model development when component formulas are missing -- with this book and software package. It shows you the ease of creating models with neural networks, and how quick model evaluation can be done, plus other opportunities presented by neural networks for conquering the toughest RF and microwave CAD problems.

Neural Networks for RF and Microwave Design [microform] : Toward Automatic Model Generation

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Author :
Release : 2003
Genre : Algorithms
Kind : eBook
Book Rating : 535/5 ( reviews)

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Book Synopsis Neural Networks for RF and Microwave Design [microform] : Toward Automatic Model Generation by : Vijaya Kumar Devabhaktuni

Download or read book Neural Networks for RF and Microwave Design [microform] : Toward Automatic Model Generation written by Vijaya Kumar Devabhaktuni. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Neural Networks for RF/microwave Modelling

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Author :
Release : 2001
Genre :
Kind : eBook
Book Rating : 903/5 ( reviews)

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Book Synopsis Artificial Neural Networks for RF/microwave Modelling by : Neslihan Serap Şengör

Download or read book Artificial Neural Networks for RF/microwave Modelling written by Neslihan Serap Şengör. This book was released on 2001. Available in PDF, EPUB and Kindle. Book excerpt:

Optimization Approaches to the Training of Neural Networks with RF/microwave Applications

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Author :
Release : 1999
Genre :
Kind : eBook
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Book Synopsis Optimization Approaches to the Training of Neural Networks with RF/microwave Applications by :

Download or read book Optimization Approaches to the Training of Neural Networks with RF/microwave Applications written by . This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

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Author :
Release : 2023-08-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 915/5 ( reviews)

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Book Synopsis Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning by : Sawyer D. Campbell

Download or read book Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning written by Sawyer D. Campbell. This book was released on 2023-08-03. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.

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