All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Formation of complex company evaluation method through neural networks based on the example of construction companies collection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F18%3A00001285" target="_blank" >RIV/75081431:_____/18:00001285 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Formation of complex company evaluation method through neural networks based on the example of construction companies collection

  • Original language description

    The main goal of this contribution is to create a model through the use of neural networks, which will be able to predict the companys ability to survive a prospective financial crisis. The contribution examines the basic data on companies coming from the Albertina database. The collection includes bot financial and non-financial indicators of all construction companies in the Czech Republic within the period of 2008 to 2014.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    AD ALTA: Journal of Interdisciplinary Research

  • ISSN

    2464-6733

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    232-239

  • UT code for WoS article

    000440788500048

  • EID of the result in the Scopus database