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001 978-3-319-73773-7
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020 _a9783319737737
_9978-3-319-73773-7
024 7 _a10.1007/978-3-319-73773-7
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aAmezcua, Jonathan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956445
245 1 0 _aNew Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
_h[electronic resource] /
_cby Jonathan Amezcua, Patricia Melin, Oscar Castillo.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aVIII, 73 p. 22 illus., 12 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computational Intelligence,
_x2625-3712
520 _aIn this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic.  This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil. Both datasets show interesting features that makes them interesting for testing new classification methods.  .
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aMelin, Patricia.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956446
700 1 _aCastillo, Oscar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956447
710 2 _aSpringerLink (Online service)
_956448
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319737720
776 0 8 _iPrinted edition:
_z9783319737744
830 0 _aSpringerBriefs in Computational Intelligence,
_x2625-3712
_956449
856 4 0 _uhttps://doi.org/10.1007/978-3-319-73773-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79746
_d79746