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Detail publikace
DOSTÁL, P.
Originální název
The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This article introduces utilization of soft computing methods for forecasting in business. The methods are represented by fuzzy logic, neural network and genetic algorithms. The tutorial is focused on explanation of principles of methods. The case studies include their application in practice, such as prediction of prices of products, volume of production, estimation of prices of real estate, evaluation of quality of client creditworthiness, prediction of risk rating of mortgages, the prediction of future trends in financial and economic data, the creation and optimization of portfolios, prediction of prices of shares, indexes, currency ratios, etc. The aim is to be familiar with these methods and their applications.
Klíčová slova
Soft computing, Forecasting, Business, Practice
Autoři
Rok RIV
2012
Vydáno
5. 9. 2012
Nakladatel
Springer-Verlag
Místo
Berlin Heidelberg
ISSN
2194-5357
Periodikum
Advances in Intelligent Systems and Computing
Ročník
192
Číslo
1
Stát
Švýcarská konfederace
Strany od
49
Strany do
60
Strany počet
12
URL
http://www.springer.com/physics/complexity/book/978-3-642-33226-5
BibTex
@article{BUT93832, author="Petr {Dostál}", title="The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice", journal="Advances in Intelligent Systems and Computing", year="2012", volume="192", number="1", pages="49--60", issn="2194-5357", url="http://www.springer.com/physics/complexity/book/978-3-642-33226-5" }