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001 978-3-319-28862-8
003 DE-He213
005 20220801222445.0
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008 160223s2016 sz | s |||| 0|eng d
020 _a9783319288628
_9978-3-319-28862-8
024 7 _a10.1007/978-3-319-28862-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aSanchez, Daniela.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_961590
245 1 0 _aHierarchical Modular Granular Neural Networks with Fuzzy Aggregation
_h[electronic resource] /
_cby Daniela Sanchez, Patricia Melin.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aVIII, 101 p. 57 illus., 50 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
505 0 _aIntroduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions.
520 _aIn this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in this research work to improve results. These techniques are chosen because in other works have demonstrated to be a good option, and in the case of MNNs and HGAs, these techniques allow to improve the results obtained than with their conventional versions; respectively artificial neural networks and genetic algorithms.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aNeural networks (Computer science) .
_961591
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
_932913
700 1 _aMelin, Patricia.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_961592
710 2 _aSpringerLink (Online service)
_961593
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319288611
776 0 8 _iPrinted edition:
_z9783319288635
830 0 _aSpringerBriefs in Computational Intelligence,
_x2625-3712
_961594
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28862-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80788
_d80788