Difference between revisions of "Publications:Fuzzy combination schemes for modular neural networks"

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|Name=Signahl, Mikael;Verikas, Antanas [av] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938])
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|Name=Signahl, Mikael (miksigx) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938))
 
|Title=Fuzzy combination schemes for modular neural networks
 
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Latest revision as of 21:39, 30 September 2016

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Title Fuzzy combination schemes for modular neural networks
Author
Year 1997
PublicationType Conference Paper
Journal
HostPublication SCIA '97, the 10th Scandinavian conference on image analysis : proceedings
Conference the 10th Scandinavian Conference on Image Analysis, Lappeenranta, Finland, June 9-11, 1997
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:544722
Abstract

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.