Using the Radial Basic Function Neural Network for Determining the Financial Plan of a Company
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F16%3A00002535" target="_blank" >RIV/75081431:_____/16:00002535 - 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
Using the Radial Basic Function Neural Network for Determining the Financial Plan of a Company
Original language description
A financial plan has a crucial influence on business success. Nowadays there are three main methods of financial planning - intuitive, statistical and causal. All these methods have some advantages and disadvantages. Other methods have been developing recently, specifically for example artificial neural networks. The aim is to find suitable radial basic function neural networks for predicting the future development of sales from goods sold of the Hornbach company in the Czech Republic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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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
Article name in the collection
Management 2016: International business and management, domestic particularites and emerging markets in the light of research
ISBN
9788081651557
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
331-337
Publisher name
Bookman s.r.o.
Place of publication
Prešov
Event location
Prešov
Event date
Jan 1, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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