The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F12%3APU99718" target="_blank" >RIV/00216305:26510/12:PU99718 - isvavai.cz</a>
Result on the web
<a href="http://www.springer.com/physics/complexity/book/978-3-642-33226-5" target="_blank" >http://www.springer.com/physics/complexity/book/978-3-642-33226-5</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Intelligent Systems and Computing
ISSN
2194-5357
e-ISSN
—
Volume of the periodical
192
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
49-60
UT code for WoS article
000313767300008
EID of the result in the Scopus database
—