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Banach space valued neural network : ordinary and fractional approximation and interpolation / / George A. Anastassiou
| Banach space valued neural network : ordinary and fractional approximation and interpolation / / George A. Anastassiou |
| Autore | Anastassiou George A. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (429 pages) |
| Disciplina | 006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Neural networks (Computer science)
Neural networks (Computer science) - Design and construction |
| ISBN |
9783031164002
9783031163999 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- 1 Algebraic Function Induced Banach Space Valued Ordinary and Fractional Neural Network Approximations -- 1.1 Introduction -- 1.2 Basics -- 1.3 Main Results -- References -- 2 Gudermannian Function Induced Banach Space Valued Ordinary and Fractional Neural Network Approximations -- 2.1 Introduction -- 2.2 Basics -- 2.3 Main Results -- References -- 3 Generalized Symmetrical Sigmoid Function Induced Banach Space Valued Ordinary and Fractional Neural Network Approximations -- 3.1 Introduction -- 3.2 Auxiliary Results -- 3.3 Main Results -- References -- 4 Abstract Multivariate Algebraic Function Induced Neural Network Approximations -- 4.1 Introduction -- 4.2 Basic -- 4.3 Multivariate General Neural Network Approximations -- References -- 5 General Multivariate Arctangent Function Induced Neural Network Approximations -- 5.1 Introduction -- 5.2 Auxiliary Notions -- 5.3 Multivariate General Neural Network Approximations -- References -- 6 Abstract Multivariate Gudermannian Function Induced Neural Network Approximations -- 6.1 Introduction -- 6.2 Background -- 6.3 Multivariate General Neural Network Approximations -- References -- 7 Generalized Symmetrical Sigmoid Function Induced Neural Network Multivariate Approximation -- 7.1 Introduction -- 7.2 Auxiliary Results (See Also ch77.14) -- 7.3 Multivariate General Neural Network Approximations -- References -- 8 Quantitative Approximation by Kantorovich-Choquet Quasi-Interpolation Neural Network Operators Revisited -- 8.1 Introduction -- 8.2 Background -- 8.2.1 About the Arctangent Activation Function -- 8.2.2 About the Algebraic Activation Function -- 8.2.3 About the Gudermannian Activation Function -- 8.2.4 About the Generalized Symmetrical Activation Function -- 8.3 Main Results -- References.
9 Quantitative Approximation by Kantorovich-Shilkret Quasi-interpolation Neural Network Operators Revisited -- 9.1 Introduction -- 9.2 Background -- 9.2.1 About the Arctangent Activation Function -- 9.2.2 About the Algebraic Activation Function -- 9.2.3 About the Gudermannian Activation Function -- 9.2.4 About the Generalized Symmetrical Activation Function -- 9.3 Main Results -- References -- 10 Voronouskaya Univariate and Multivariate Asymptotic Expansions for Sigmoid Functions Induced Quasi-interpolation Neural Network Operators Revisited -- 10.1 Background -- 10.1.1 About the Arctangent Activation Function -- 10.1.2 About the Algebraic Activation Function -- 10.1.3 About the Gudermannian Activation Function -- 10.1.4 About the Generalized Symmetrical Activation Function -- 10.2 Main Results -- References -- 11 Univariate Fuzzy Fractional Various Sigmoid Function Activated Neural Network Approximations Revisited -- 11.1 Introduction -- 11.2 Fuzzy Fractional Mathematical Analysis Basics -- 11.3 Real Neural Network Approximation -- 11.3.1 About the Arctangent Activation Function Neural Networks -- 11.3.2 About the Algebraic Activation Function Neural Networks -- 11.3.3 About the Gudermannian Activation Function Neural Networks -- 11.3.4 About the Generalized Symmetrical Activation Function Neural Networks -- 11.4 Main Results: Approximation by Fuzzy Quasi-interpolation Neural … -- References -- 12 Multivariate Fuzzy Approximation by Neural Network Operators Induced by Several Sigmoid Functions Revisited -- 12.1 Introduction -- 12.2 Fuzzy Real Analysis Background -- 12.3 About Neural Networks Background -- 12.3.1 About the Arctangent Activation Function -- 12.3.2 About the Algebraic Activation Function -- 12.3.3 About the Gudermannian Activation Function -- 12.3.4 About the Generalized Symmetrical Activation Function. 12.4 Main Results: Fuzzy Multivariate Neural Network Approximation Based … -- References -- 13 Multivariate Fuzzy-Random and Stochastic Various Activation Functions Activated Neural Network Approximations -- 13.1 Fuzzy-Random Functions and Stochastic Processes Background -- 13.2 About Neural Networks Background -- 13.2.1 About the Arctangent Activation Function -- 13.2.2 About the Algebraic Activation Function -- 13.2.3 About the Gudermannian Activation Function -- 13.2.4 About the Generalized Symmetrical Activation Function -- 13.3 Main Results -- References -- Appendix Conclusion. |
| Record Nr. | UNINA-9910627243803321 |
Anastassiou George A.
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| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Compressed sensing in information processing / / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch, editors
| Compressed sensing in information processing / / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Birkhäuser, , [2022] |
| Descrizione fisica | 1 online resource (549 pages) |
| Disciplina | 621.3678 |
| Collana | Applied and numerical harmonic analysis |
| Soggetto topico |
Compressed sensing (Telecommunication)
Information theory Neural networks (Computer science) - Design and construction Telecomunicació Teoria de la informació Xarxes neuronals (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-09745-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619276503321 |
| Cham, Switzerland : , : Birkhäuser, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Compressed sensing in information processing / / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch, editors
| Compressed sensing in information processing / / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Birkhäuser, , [2022] |
| Descrizione fisica | 1 online resource (549 pages) |
| Disciplina | 621.3678 |
| Collana | Applied and numerical harmonic analysis |
| Soggetto topico |
Compressed sensing (Telecommunication)
Information theory Neural networks (Computer science) - Design and construction Telecomunicació Teoria de la informació Xarxes neuronals (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-09745-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996495169003316 |
| Cham, Switzerland : , : Birkhäuser, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Graph neural networks : foundations, frontiers, and applications / / Lingfei Wu [and three others]
| Graph neural networks : foundations, frontiers, and applications / / Lingfei Wu [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (701 pages) |
| Disciplina | 006.32 |
| Soggetto topico |
Neural networks (Computer science)
Neural networks (Computer science) - Design and construction |
| ISBN | 981-16-6054-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464550203316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Graph neural networks : foundations, frontiers, and applications / / Lingfei Wu [and three others]
| Graph neural networks : foundations, frontiers, and applications / / Lingfei Wu [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (701 pages) |
| Disciplina | 006.32 |
| Soggetto topico |
Neural networks (Computer science)
Neural networks (Computer science) - Design and construction |
| ISBN |
981-16-6054-9
981-16-6053-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996549370603316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Graph neural networks : foundations, frontiers, and applications / / Lingfei Wu [and three others]
| Graph neural networks : foundations, frontiers, and applications / / Lingfei Wu [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (701 pages) |
| Disciplina | 006.32 |
| Soggetto topico |
Neural networks (Computer science)
Neural networks (Computer science) - Design and construction |
| ISBN |
981-16-6054-9
981-16-6053-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743374703321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
