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Trend Forecasting in Capital Markets with Neural Networks in MatLab

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F10%3APU90606" target="_blank" >RIV/00216305:26510/10:PU90606 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Trend Forecasting in Capital Markets with Neural Networks in MatLab

  • Original language description

    One of current investment problems is how to estimate a companys financial investments. These problems can be solved by different methods, one of which is estimation of a companys financial investments by means of neural networks. This paper aims to briefly describe artificial neural networks and to provide some examples of their use on capital market created in MatLab.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • 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

  • Name of the periodical

    Center for Investigations into Information Sytems

  • ISSN

    1214-9489

  • e-ISSN

  • Volume of the periodical

    2010

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    3

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database