Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00001754" target="_blank" >RIV/75081431:_____/20:00001754 - isvavai.cz</a>

Result on the web

<a href="http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=5&SID=F3YeIqhcfIoEBr8DNUH&page=1&doc=1" target="_blank" >http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=5&SID=F3YeIqhcfIoEBr8DNUH&page=1&doc=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/jrfm13030060" target="_blank" >10.3390/jrfm13030060</a>

Result language

angličtina

Original language name

Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Original language description

The objective of this paper is to create a model for predicting potential bankruptcy of companies using suitable classification methods, namely Support Vector Machine and artificial neural networks, and to evaluate the results of the methods used.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50200 - Economics and Business

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2020

Confidentiality

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

Name of the periodical

Journal of Risk and Financial Management

ISSN

1911-8066

e-ISSN

1911-8074

Volume of the periodical

13

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

—

UT code for WoS article

000523491700001

EID of the result in the Scopus database

—