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Usage of Generalized Regression Neural Networks in Determination of the Enterprise´s Future Sales Plan

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F16%3A00000876" target="_blank" >RIV/75081431:_____/16:00000876 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Usage of Generalized Regression Neural Networks in Determination of the Enterprise´s Future Sales Plan

  • Original language description

    Neural networks have recently been gaining popularity in the business practice. Research has even confirmed their better performance over traditional methods. This contribution gives an overview of one of the types of neural networks, generalized regression neural networks. These are then used to establish a plan for the future sales of a company. The proposed neural network is potentially applicable in practice when compiling the financial plan of a company derived from the amount of sales.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Littera Scripta

  • ISSN

    1805-9112

  • e-ISSN

  • Volume of the periodical

    Volume 9

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    32-41

  • UT code for WoS article

  • EID of the result in the Scopus database