02877nmm a2200289 u 4500001001200000003002700012005001700039007002400056008004100080020001800121100002700139245013000166260005600296300004000352505100200392653001601394653002801410653003101438653002801469710003401497041001901531989003601550490004201586856007201628082001001700520087701710EB001035165EBX0100000000000000082868100000000000000.0cr|||||||||||||||||||||150702 ||| eng a97833192050521 aAnastassiou, George A.00aIntelligent Systems II: Complete Approximation by Neural Network OperatorshElektronische Ressourcecby George A. Anastassiou aChambSpringer International Publishingc2016, 2016 aXV, 712 p. 1 illusbonline resource0 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 F aEngineering aArtificial Intelligence aComputational Intelligence aArtificial intelligence2 aSpringerLink (Online service)07aeng2ISO 639-2 bSpringeraSpringer eBooks 2005-0 aStudies in Computational Intelligence uhttps://doi.org/10.1007/978-3-319-20505-2?nosfx=yxVerlag3Volltext0 a006.3 aThis monograph is the continuation and completion of the monograph, “Intelligent Systems: Approximation by Artificial Neural Networks” 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.