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020 _a9783319923932
024 7 _a10.1007/978-3-319-92393-2
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTA345
_b2019 EB
100 1 _aKarkalos, Nikolaos E.
_eautor
_9670747
245 1 0 _aComputational Methods for Application in Industry 4.0
_cby Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (VIII, 67 páginas)
_b10 ilustraciones, 3 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
490 0 _aManufacturing and Surface Engineering
_x2365-8223
505 0 _aGeneral aspects and definitions -- Literature Review -- Evolution based methods -- Swarm intelligence based methods -- Other methods -- Case studies and conclusions.
520 3 _aThis book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.
650 7 _2embne
_9670749
_aEstadística industrial
650 7 _2embne
_9138098
_aIndustria
_xProceso de datos
650 7 _2embne
_aInteligencia artificial
_xIndustria
_9413115
700 1 _aDavim, J. Paulo
_eautor
_997560
700 1 _aMarkopoulos, Angelos P.,
_eautor
_9670748
_d1976-
776 0 8 _iPrinted edition:
_z9783319923925
776 0 8 _iPrinted edition:
_z9783319923949
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92393-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b09/2019
_eel
_zSI