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Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F10%3A00173684" target="_blank" >RIV/68407700:21220/10:00173684 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5599677" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5599677</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/COGINF.2010.5599677" target="_blank" >10.1109/COGINF.2010.5599677</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications

  • Original language description

    The paper discusses the quadratic neural unit (QNU) and highlights its attractiveness for industrial applications such as for plant modeling, control, and time series prediction. Linear systems are still often preferred in control applications for theirsolvable and single solution nature and for the clarity to the most application engineers. Artificial neural networks are powerful cognitive nonlinear tools, but their nonlinear strength is naturally repaid with the local minima problem, overfitting, andhigh demands for application-correct neural architecture and optimization technique that often require skilled users. The QNU is the important midpoint between linear systems and highly nonlinear neural networks because the QNU is relatively very strongin nonlinear approximation; however, its optimization and performance have fast and convex-like nature, and its mathematical structure and the derivation of the learning rules is very comprehensible and efficient for implementation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on

  • ISBN

    978-1-4244-8040-1

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    556-560

  • Publisher name

    IEEE Computer Society Press

  • Place of publication

    Los Alamitos

  • Event location

    Beijing

  • Event date

    Jul 7, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article