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

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Release : 1999
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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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:

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.

Optimization Approaches to the Training of Neural Networks with RF

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Author :
Release : 1999
Genre :
Kind : eBook
Book Rating : 658/5 ( reviews)

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Book Synopsis Optimization Approaches to the Training of Neural Networks with RF by : Xi, Changgeng

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

Simulation-driven Design Optimization And Modeling For Microwave Engineering

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Release : 2013-03-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 221/5 ( reviews)

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Book Synopsis Simulation-driven Design Optimization And Modeling For Microwave Engineering by : Qi-jun Zhang

Download or read book Simulation-driven Design Optimization And Modeling For Microwave Engineering written by Qi-jun Zhang. This book was released on 2013-03-14. Available in PDF, EPUB and Kindle. Book excerpt: Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis.Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important.In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods./a

Surrogate-Based Modeling and Optimization

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Release : 2013-06-06
Genre : Mathematics
Kind : eBook
Book Rating : 511/5 ( reviews)

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Book Synopsis Surrogate-Based Modeling and Optimization by : Slawomir Koziel

Download or read book Surrogate-Based Modeling and Optimization written by Slawomir Koziel. This book was released on 2013-06-06. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.

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