Publication detail

Methodology of neural design: applications in microwave engineering

Petr Poměnka, Zbyněk Raida

Original Title

Methodology of neural design: applications in microwave engineering

English Title

Methodology of neural design: applications in microwave engineering

Type

journal article - other

Language

en

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

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.

Keywords

Artificial neural networks, genetic algorithms, microwave structures.

RIV year

2006

Released

01.06.2006

Pages from

12

Pages to

17

Pages count

6

BibTex


@article{BUT43180,
  author="Petr {Poměnka} and Zbyněk {Raida}",
  title="Methodology of neural design: applications in microwave engineering",
  annote="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.",
  chapter="43180",
  journal="Radioengineering",
  number="2",
  volume="15",
  year="2006",
  month="june",
  pages="12",
  type="journal article - other"
}