大葉大學圖書館 |

Intelligent systems II[electronic resource] :complete approximation by neural network operators /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.32
書名/作者:	Intelligent systems II : complete approximation by neural network operators // by George A. Anastassiou.
作者:	Anastassiou, George A.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xv, 712 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science)
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319205052
ISBN:	9783319205045
內容註:	Rate 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.
摘要、提要註:	This 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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-20505-2

Intelligent systems II[electronic resource] :complete approximation by neural network operators /
Anastassiou, George A.

Intelligent systems IIcomplete approximation by neural network operators /[electronic resource] :by George A. Anastassiou. - Cham :Springer International Publishing :2016. - xv, 712 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6081860-949X ;. - Studies in computational intelligence ;v.379..

Rate 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.

This 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.

ISBN: 9783319205052

Standard No.: 10.1007/978-3-319-20505-2doiSubjects--Topical Terms:

386157
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Intelligent systems II[electronic resource] :complete approximation by neural network operators /
LDR:03758nam a2200325 a 4500 001 454242
003 DE-He213
005 20160707154507.0
006 m d
007 cr nn 008maaau
008 161227s2016 gw s 0 eng d
020 $a 9783319205052 $q (electronic bk.)
020 $a 9783319205045 $q (paper)
024 7 $a 10.1007/978-3-319-20505-2 $2 doi
035 $a 978-3-319-20505-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .A534 2016
100 1 $a Anastassiou, George A. $3 614100
245 1 0 $a Intelligent systems II $h [electronic resource] : $b complete approximation by neural network operators / $c by George A. Anastassiou.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xv, 712 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.608
505 0 $a Rate 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 $a This 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.
650 0 $a Neural networks (Computer science) $3 386157
650 1 4 $a Engineering. $3 372756
650 2 4 $a Computational Intelligence. $3 463962
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.379. $3 464637
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20505-2
950 $a Engineering (Springer-11647)