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

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

자료유형
E-Book(소장)
개인저자
Anastassiou, George A.
서명 / 저자사항
Intelligent systems II [electronic resource] : complete approximation by neural network operators / by George A. Anastassiou.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2016.  
형태사항
1 online resource (xv, 712 p.) : ill.
총서사항
Studies in computational intelligence,1860-949X, 1860-9503 (electronic) ; 608
ISBN
9783319205052
요약
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.  .
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
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001 000046019338
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007 cr
008 200228s2016 sz a ob 001 0 eng d
020 ▼a 9783319205052
040 ▼a 211009 ▼c 211009 ▼d 211009
082 0 4 ▼a 006.32 ▼2 23
084 ▼a 006.32 ▼2 DDCK
090 ▼a 006.32
100 1 ▼a Anastassiou, George A.
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 1 online resource (xv, 712 p.) : ▼b ill.
490 1 ▼a Studies in computational intelligence, ▼x 1860-949X, ▼x 1860-9503 (electronic) ; ▼v 608
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
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.  .
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
830 0 ▼a Studies in computational intelligence ; ▼v 608.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-20505-2
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.32 등록번호 E14020120 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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