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008 170106s2017 sz o 000 0 eng d
020 _a331947054X
_q(electronic bk.)
020 _a9783319470542
_q(electronic bk.)
020 _z3319470531
_q(print)
020 _z9783319470535
_q(print)
035 _a(OCoLC)967714789
_z(OCoLC)970732644
_z(OCoLC)971031765
_z(OCoLC)971067454
_z(OCoLC)974650231
_z(OCoLC)1005777201
_z(OCoLC)1011983383
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_bspa
050 4 _aQA9.64
_bN388 2017 EB
245 0 0 _aNature-inspired design of hybrid intelligent systems
_cPatricia Melin, Oscar Castillo, Janusz Kacprzyk, editors.
264 1 _aCham, Switzerland
_bSpringer
_c2017
300 _a1 recurso en línea
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aStudies in computational intelligence
_x1860-949X
_vvolume 667
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
505 0 _aType-2 and Intuitionistic Fuzzy Logic: On the Graphical Representation of Intuitionistic Membership Functions for its use in Intuitionistic Fuzzy Inference Systems -- A gravitational search algorithm using type-2 fuzzy logic for parameter adaptation -- General Type-2 Fuzzy edge detection in the preprocessing of a face recognition system -- Interval Type-2 Fuzzy Possibilistic C-Means Optimization using Particle Swarm Optimization -- Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment -- Choquet integral and Interval Type-2 Fuzzy Choquet integral for edge detection -- An Overview of Granular Computing using Fuzzy Logic Systems.
520 3 _aThis book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book's third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.
650 7 _aInteligencia artificial
_xBiological applications.
_2embne
_0(OCoLC)fst00817250
_0
_9413115
700 1 _aCastillo, Oscar,
_d1959-
_eeditor literario
_937054
700 1 _aKacprzyk, Janusz
_eeditor literario
_996945
700 1 _aMelin, Patricia
_d1962-
_eeditor literario
_997926
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-47054-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017B
998 _b02/2018
_dz
_e-
_zSI
999 _c95149
_d95149
_x1