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Fuzzy combination schemes for modular neural networks
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-2185-8973
1997 (English)In: SCIA '97, the 10th Scandinavian conference on image analysis: proceedings / [ed] Frydrych, M; Parkkinen, J; Visa, A, Lappeenranta: Pattern Recognition Society of Finland , 1997, 419-424 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we discuss some new methods for combining different outputs from several feed forward neural networks into a final output. We generalize the BADD defuzzification method (G-BADD) to obtain substantial improvement in system output. It is compared with the ordinary BADD-, Sugeno- and the MOM-methods. The use of the fuzzy integral, as a selection tool when deciding which networks are to be used in the combination, is introduced.

Place, publisher, year, edition, pages
Lappeenranta: Pattern Recognition Society of Finland , 1997. 419-424 p.
Keyword [en]
modular, combination, selection, fuzzy, neural
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-18818ISI: A1997BJ35A00056ISBN: 951-764-145-1 OAI: oai:DiVA.org:hh-18818DiVA: diva2:544722
Conference
the 10th Scandinavian Conference on Image Analysis, Lappeenranta, Finland, June 9-11, 1997
Available from: 2012-08-15 Created: 2012-06-25 Last updated: 2014-11-10Bibliographically approved

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  • apa
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