Detail publikace

The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice

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

DOSTÁL, P.

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"
}