LINGUISTICALLY FUZZY RULES DERIVED BY NEURAL NETWORK

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63468352%3A_____%2F11%3A%230000099" target="_blank" >RIV/63468352:_____/11:#0000099 - 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

LINGUISTICALLY FUZZY RULES DERIVED BY NEURAL NETWORK

Original language description

Based on the works [IO}, [23} afuzzy 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 seriesmodelling 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 REF 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

IN - Informatics

OECD FORD branch

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Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2011

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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