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_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/274647764/
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020 _a9783319710082
024 7 _a10.1007/978-3-319-71008-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ342
_b2018 EB
245 0 0 _aFuzzy Logic Augmentation of Neural and Optimization Algorithms:
_bTheoretical Aspects and Real Applications
_cedited by Oscar Castillo, Patricia Melin, Janusz Kacprzyk
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XI, 546 páginas)
_bilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence,
_x1860-949X
_v749
490 0 _aEngineering (Springer-11647)
505 0 _aPart I: Type-2 Fuzzy Logic in Metaheuristics -- A comparative study of dynamic adaptation of parameters in the GWO algorithm using type-1 and interval type-2 fuzzy logic -- Ensemble Neural Network optimization using a gravitational search algorithm with Interval Type-1 and Type-2 fuzzy parameter adaptation in pattern recognition applications -- Improved method based on type-2 fuzzy logic for the adaptive harmony search algorithm -- Comparison of bio-inspired methods with parameter adaptation through interval type-2 fuzzy logic -- Differential Evolution algorithm with Interval type-2 fuzzy logic for the optimization of the mutation parameter -- Part II: Neural Networks Theory and Applications -- Person recognition with modular deep neural network using the iris biometric measure -- Neuro-evolutionary Neural Network for the Estimation of Melting Point of Ionic Liquids -- A proposal to classify ways of walking patterns using spik-ing neural networks -- Partially-connected Artificial Neural Networks developed by Grammatical Evolution for pattern recognition problems -- Part III: Metaheuristics: Theory and Applications -- Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers.
520 3 _aThis book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.
988 _aEBSPRINGER_2018
650 7 _2embne
_aInteligencia artificial
_9413115
700 1 _aCastillo, Oscar.
_eeditor literario
_937054
700 1 _aMelin, Patricia
_d1962-
_eeditor literario
_997926
700 1 _aKacprzyk, Janusz
_eeditor literario
_996945
776 0 8 _iEdición impresa:
_z9783319710075
776 0 8 _iEdición impresa:
_z9783319710099
776 0 8 _iEdición impresa:
_z9783319890289
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-71008-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2020
_dz
_ek
_zSI