| Abstract
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<p>In this paper, we discuss some ne … <p>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.</p> the combination, is introduced.</p>
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| Author
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Mikael Signahl +
, Antanas Verikas +
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| Conference
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the 10th Scandinavian Conference on Image Analysis, Lappeenranta, Finland, June 9-11, 1997
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| Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:544722
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| EndPage
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424 +
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| HostPublication
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SCIA '97, the 10th Scandinavian conference on image analysis : proceedings +
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| PublicationType
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Conference Paper +
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| Publisher
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Pattern Recognition Society of Finland +
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| StartPage
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419 +
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| Title
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Fuzzy combination schemes for modular neural networks +
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| Year
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1997 +
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| Has queryThis property is a special property in this wiki.
|
Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
, Publications:Fuzzy combination schemes for modular neural networks +
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| Categories |
Publication +
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| Modification dateThis property is a special property in this wiki.
|
30 September 2016 20:39:46 +
|
