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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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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
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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
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