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020 _a9783319205052
040 _aES-MaUEC
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050 4 _aQA76.87
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100 1 _aAnastassiou, George A.
_d1952-
_eautor
_997076
245 1 0 _aIntelligent Systems II :
_bComplete Approximation by Neural Network Operators
_cby George A Anastassiou
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (XV, 712 páginas)
_bilustraciones
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v608
505 0 _aRate of Convergence of Basic Neural Network Operators to the Unit -- Rate of Convergence of Basic Multivariate Neural Network Operators -- Fractional Neural Network Operators Approximation -- Fractional Approximation Using Cardaliaguet-Euvrard Neural Networks -- Fractional Asymptotic Expansions for Quasi-interpolation neural Networks -- Voronovskaya Type Asymptotic Expansions for Multivariate Neural Networks -- Fractional Approximation by Bell and Squashing Neural Networks -- Fractional Asymptotic Expansions For Bell And Squashing Neural Networks -- Multivariate Asymptotic Expansions for Bell and Squashing Neural Networks -- Multivariate Fuzzy-Random Normalized Neural Network Approximation -- Fuzzy Fractional Approximations by Fuzzy Bell and Squashing Neural Networks -- Fuzzy Fractional Neural Network Approximation -- �Multivariate Fuzzy Approximation Using Basic Neural Network Operators -- Multivariate Fuzzy Approximation Using Quasi-Interpolation Neural Networks -- Multivariate Fuzzy-Random Neural Networks Approximation -- Approximation by Kantorovich and Quadrature type neural Networks -- Univariate Error Function Based Neural Network Approximations -- Multivariate Error Function Based Neural Network Operators Approximation -- Asymptotic Expansions for Error Function Based Neural Networks -- Fuzzy Fractional Error Function Relied Neural Network Approximations -- Multivariate Fuzzy Approximation by Neural Networks -- Fuzzy-Random Error Function Relied Neural Network Approximations -- Approximation by Perturbed Neural Networks -- Approximations by Multivariate Perturbed Neural Networks -- Voronovskaya type Asymptotic Expansions for Perturbed Neural Networks -- Approximation using Fuzzy Perturbed Neural Networks -- Multivariate Fuzzy Perturbed Neural Network Approximations -- Multivariate Fuzzy-Random Perturbed Neural Network Approximations.
520 _aThis monograph is the continuation and completion of the monograph, zIntelligent Systems: Approximation by Artificial Neural Networksy written by the same author and published 2011 by Springer. The book you hold in hand presents the complete recent and original work of the author in approximation by neural networks. Chapters are written in a self-contained style and can be read independently. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The book�s results are expected to find applications in many areas of applied mathematics, computer science and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science and engineering libraries. �.
988 0 0 _aEBOOK, EBSPRINGER
650 7 _aRedes neuronales artificiales
_2embne
_9678664
710 2 _aSpringerLink (Online service)
_0Local
_9106996
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-20505-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319205052
907 _a.b12939778
_b10-10-17
_c21-11-16
942 _2lcc
_cLE
945 _aQA76.87 A537 2016 EB
_g1
_ieBOOK
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_z06-04-17
998 _b11/2019
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