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Data extractionfrom sound waves towards neural network trainig set

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA12011XY" target="_blank" >RIV/61988987:17310/11:A12011XY - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data extractionfrom sound waves towards neural network trainig set

  • Original language description

    We present the proposed method that is based on neural networks in this paper. The neural network identifies a distance between an active transmitter and a receiver on the basis of sound pulses transmitted from transmitters in the defined domain. Consequently, another neural network uses obtained distances between transmitters and a receiver as its inputs to determine an actual position of the receiver in space. To solve data extraction from sound waves, we propose a new structure of training set corresponding to its original structure that means it is used to separate all difficult recognizing patterns from the training data set, therefore the main emphasis of this paper is focused on the fact, how to properly design training set for given neural networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Mendel 2011

  • ISBN

    978-80-214-4302-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    177-184

  • Publisher name

    Brno Univerzity of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 15, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article