Statistical Models, SV Regression Models and Soft Neural Networks: An Application to the Input-Output Function Estimation of Sales Processes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F12%3A%230004395" target="_blank" >RIV/47813059:19240/12:#0004395 - 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
Statistical Models, SV Regression Models and Soft Neural Networks: An Application to the Input-Output Function Estimation of Sales Processes
Original language description
This article discusses statistical, SVM models and fuzzy logic neural network as new managerial tools for finding the input/output function of sales processes for industrial companies. The study reviews experimental results, discusses, analytically and numerically demonstrates the quality and interpretability of the obtained results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 10th International FLINS Conference
ISBN
978-981-4417-73-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
827-832
Publisher name
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Place of publication
Paříž
Event location
Istanbul
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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