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<dc:title xml:lang="pl"><![CDATA[Improving the generalization ability of neuro-fuzzy systems by [epsilon]-insensitive learning]]></dc:title>
<dc:creator><![CDATA[Łęski, Jacek M.]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[fuzzy systems]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[neural networks]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[tolerant learning]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[generalization control]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[robust methods]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[A new learning method tolerant of imprecision is introduced and used in neuro-fuzzy modelling. The proposed method makes it possible to dispose of an intrinsic inconsistency of neuro-fuzzy modelling, where zero-tolerance learning is used to obtain a fuzzy model tolerant of imprecision.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[This new method can be called [epsilon]-insensitive learning, where, in order to fit the fuzzy model to real data, the [epsilon]-insensitive loss function is used. [epsilon]-insensitive learning leads to a model with minimal Vapnik-Chervonenkis dimension, which results in an improved generalization ability of this system. Another advantage of the proposed method is its robustness against outliers.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[This paper introduces two approaches to solving ?-insensitive learning problem. The first approach leads to a quadratic programming problem with bound constraints and one linear equality constraint. The second approach leads to a problem of solving a system of linear inequalities. Two computationally efficient numerical methods for [epsilon]-insensitive learning are proposed. Finally, examples are given to demonstrate the validity of the introduced methods.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Rutkowska, Danuta - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Kacprzyk, Janusz - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Zadeh, Lotfi A. - ed.]]></dc:contributor>
<dc:date><![CDATA[2002]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/58949/AMCS_2002_12_3_12.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/65745/edition/58949/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:58949]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 12, number 3 (2002)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=paper&paper=105]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:65745]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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