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Detail publikačního výsledku
DOSTÁL, P.
Originální název
The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice
Anglický název
Druh
Článek WoS
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.
Anglický abstrakt
Klíčová slova
Soft computing, Forecasting, Business, Practice
Klíčová slova v angličtině
Autoři
Rok RIV
2013
Vydáno
05.09.2012
Nakladatel
Springer-Verlag
Místo
Berlin Heidelberg
ISSN
2194-5357
Periodikum
Advances in Intelligent Systems and Computing
Svazek
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" }