Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020161" target="_blank" >RIV/67985807:_____/02:06020161 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks.
Original language description
The extraction of logical rules from data by means of artificial NN is receiving increasingly much attention. Paper presents a mathematically well founded approach based on piecewise-linear activation functions,which is suitable for the extraction of both kinds of rules. Basic properties of piecewise-linear NN are reviewed, an algorithm for the extraction of Boolean rules with that approach is given. A biological application in which the presented approach has been successfully employed is briefly sketched.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Discovery Science.
ISBN
3-540-00188-3
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
193-205
Publisher name
Springer
Place of publication
Berlin
Event location
Lübeck [DE]
Event date
Nov 24, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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