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Petr Poměnka, Zbyněk Raida
Original Title
Methodology of neural design: applications in microwave engineering
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original Abstract
In the paper, an original methodology for the automatic creation of neural models of microwave structures is proposed and verified. Following the methodology, neural models of the prescribed accuracy are built within the minimum CPU time. Validity of the proposed methodology is verified by developing neural models of selected microwave structures. Functionality of neural models is verified in a design – a neural model is joined with a genetic algorithm to find a global minimum of a formulated objective function. The objective function is minimized using different versions of genetic algorithms, and their mutual combinations. The verified methodology of the automated creation of accurate neural models of microwave structures, and their association with global optimization routines are the most important original features of the paper.
English abstract
Keywords
Artificial neural networks, genetic algorithms, microwave structures.
Key words in English
Authors
Released
01.06.2006
ISBN
1210-2512
Periodical
Radioengineering
Volume
15
Number
2
State
Czech Republic
Pages from
12
Pages count
6
BibTex
@article{BUT43180, author="Petr {Poměnka} and Zbyněk {Raida}", title="Methodology of neural design: applications in microwave engineering", journal="Radioengineering", year="2006", volume="15", number="2", pages="6", issn="1210-2512" }