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DSP Embeded Neural Network Sensor Signal Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F03%3APU39426" target="_blank" >RIV/00216305:26220/03:PU39426 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    DSP Embeded Neural Network Sensor Signal Processing

  • Original language description

    This paper presents a neural network for gas recognition exploiting an array of various gas sensors. The main sections of the gas analyzing system are described, in addition to their functional integration into the laboratory analyzing system equipped byindustrial embedded gas sensors. Special attention is paid to the neural network structure and its programming to self-learning.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Elektrotechnika a informatika 2003

  • ISBN

    80-7082993-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    Západočeská universita v Plzni

  • Place of publication

    Plzeň

  • Event location

    Nečtiny

  • Event date

    Oct 15, 2003

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article