000 02415nam a22004335i 4500
001 978-3-319-12745-3
003 DE-He213
005 20170628034251.0
007 cr nn 008mamaa
008 141103s2014 gw | s |||| 0|eng d
020 _a9783319127453
_9978-3-319-12745-3
024 7 _a10.1007/978-3-319-12745-3
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aCOM014000
_2bisacsh
082 0 4 _a004
_223
100 1 _aPizzuti, Clara.
_eeditor.
245 1 0 _aAdvances in Artificial Life and Evolutionary Computation
_h[electronic resource] :
_b9th Italian Workshop, WIVACE 2014, Vietri sul Mare, Italy, May 14-15, Revised Selected Papers /
_cedited by Clara Pizzuti, Giandomenico Spezzano.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXII, 213 p. 89 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCommunications in Computer and Information Science,
_x1865-0929 ;
_v445
505 0 _aArtificial neural networks -- Fuzzy inference systems -- Rough set -- Approximate reasoning -- Optimization methods such as evolutionary computation, swarm intelligence, particle swarm optimization.
520 _aThis book constitutes the revised selected papers of the 9th Italian Workshop on Advances in Artificial Life and Evolutionary Computation held in Vietri sul Mare, Italy, in May 2014, in conjunction with the 24th Italian Workshop on Neural Networks, WIRN 2014. The 16 papers presented have been thoroughly reviewed and selected from 40 submissions. They cover the following topics: artificial neural networks; fuzzy inference systems; rough set; approximate reasoning; and optimization methods such as evolutionary computation, swarm intelligence, particle swarm optimization.
650 0 _aComputer science.
650 1 4 _aComputer Science.
650 2 4 _aComputer Science, general.
700 1 _aSpezzano, Giandomenico.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319127446
830 0 _aCommunications in Computer and Information Science,
_x1865-0929 ;
_v445
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-12745-3
912 _aZDB-2-SCS
999 _c19061
_d19061