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Custom Winding Ratio Analysis of Evolutionary Optimized Audio Transformer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43868846" target="_blank" >RIV/70883521:28140/13:43868846 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Custom Winding Ratio Analysis of Evolutionary Optimized Audio Transformer

  • Original language description

    This paper is intended to present a trend analysis resulting from different secondary to primary windings ratio of evolutionary optimized audio transformer. Evolutionary optimization of audio transformers is a perspective approach to the wideband audio transformers design by employing mehods of artificial intelligence algorithms. This novel approach to audio transformers designing has a notable implication for problematics related to audio transformers complex design process.The authors are building ontheir previous research by trying to determine the trends which can be observed by selecting different secondary to primary windings ratio of evolutionary designed audio transformer. These trends can be useful at further optimization of the designing algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems

  • ISBN

    978-3-642-33226-5

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    179 - 190

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • Event location

    Ostrava

  • Event date

    Sep 5, 2012

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article