Liguistically Fuzzy Rules Derived by Neural Network

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F10%3A%230003232" target="_blank" >RIV/47813059:19240/10:#0003232 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Liguistically Fuzzy Rules Derived by Neural Network

Original language description

A fuzzy time series model is proposed and applied to predict chaotic financial process. The general methodological framework of classical and fuzzy modelling of economic time series is considered. A complete fuzzy time series modelling approach is proposed. To generate fuzzy rules from data, the neural network with Supervised Competitive Learning (SCL)-based product-space clustering and a fuzzy logic RBF network are used

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AH - Economics

OECD FORD branch

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Project

<a href="/en/project/GA402%2F08%2F0022" target="_blank" >GA402/08/0022: The Latest Intelligent Methodologies for Economic Time Series Modelling and Forecasting</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Information, Control and Management Systems

ISSN

1336-1716

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

2

Country of publishing house

SK - SLOVAKIA

Number of pages

9

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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