Complex-Valued Multivariate Neural Network (MNN) Approximation by Parameterized Half-Hyperbolic Tangent Function
This paper deals with a family of normalized multivariate neural network (MNN) operators of complex-valued continuous functions for a multivariate context on a box of RN¯, N¯∈N. Moreover, we consider the case of approximation employing iterated MNN operators. In addition, pointwise and uniform conve...
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| Vydáno v: | Mathematics (Basel) Ročník 13; číslo 3; s. 453 |
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| Abstract | This paper deals with a family of normalized multivariate neural network (MNN) operators of complex-valued continuous functions for a multivariate context on a box of RN¯, N¯∈N. Moreover, we consider the case of approximation employing iterated MNN operators. In addition, pointwise and uniform convergence results are obtained in Banach spaces thanks to the multivariate versions of trigonometric and hyperbolic-type Taylor formulae on the corresponding feed-forward neural networks (FNNs) based on one or more hidden layers. |
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| AbstractList | This paper deals with a family of normalized multivariate neural network (MNN) operators of complex-valued continuous functions for a multivariate context on a box of R N¯ , N¯∈ N . Moreover, we consider the case of approximation employing iterated MNN operators. In addition, pointwise and uniform convergence results are obtained in Banach spaces thanks to the multivariate versions of trigonometric and hyperbolic-type Taylor formulae on the corresponding feed-forward neural networks (FNNs) based on one or more hidden layers. This paper deals with a family of normalized multivariate neural network (MNN) operators of complex-valued continuous functions for a multivariate context on a box of RN¯, N¯∈N. Moreover, we consider the case of approximation employing iterated MNN operators. In addition, pointwise and uniform convergence results are obtained in Banach spaces thanks to the multivariate versions of trigonometric and hyperbolic-type Taylor formulae on the corresponding feed-forward neural networks (FNNs) based on one or more hidden layers. This paper deals with a family of normalized multivariate neural network (MNN) operators of complex-valued continuous functions for a multivariate context on a box of R[sup.N¯], N¯∈N. Moreover, we consider the case of approximation employing iterated MNN operators. In addition, pointwise and uniform convergence results are obtained in Banach spaces thanks to the multivariate versions of trigonometric and hyperbolic-type Taylor formulae on the corresponding feed-forward neural networks (FNNs) based on one or more hidden layers. |
| Audience | Academic |
| Author | Karateke, Seda |
| Author_xml | – sequence: 1 givenname: Seda orcidid: 0000-0003-1219-0115 surname: Karateke fullname: Karateke, Seda |
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| Cites_doi | 10.1016/j.neunet.2013.07.009 10.1090/surv/263 10.1007/978-1-4614-6393-1 10.1109/72.392253 10.1016/j.neunet.2011.01.003 10.1017/S0962492900002919 10.3390/electronics13224378 10.33401/fujma.1423906 10.1007/s41980-023-00815-2 10.1016/j.eswa.2024.126119 10.1007/978-3-031-43021-3_20 10.3390/jrfm17020069 10.1007/BF02551274 10.1006/jmaa.1997.5494 10.1007/BF02478259 10.1007/s13226-024-00587-3 10.1515/dema-2024-0003 10.1016/0893-6080(89)90003-8 10.7153/mia-2022-25-69 10.1016/0893-6080(89)90020-8 10.1016/j.neunet.2013.03.015 10.26637/mjm11S/001 10.1007/978-3-319-20505-2 10.1016/0021-9045(92)90081-X 10.3934/math.2024217 10.1007/978-3-319-66936-6 10.1016/j.eswa.2022.117771 10.3390/sym16121568 10.1016/0022-247X(91)90267-4 10.1007/s40314-024-02946-6 10.1016/j.jksus.2024.103333 10.1016/j.camwa.2003.06.008 10.1016/j.neunet.2015.02.002 10.1142/13857 10.1016/j.aej.2024.07.015 |
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| References | Kolmogorov (ref_12) 1963; 2 Costarelli (ref_29) 2024; 7 Rao (ref_5) 2024; 43 Anastassiou (ref_32) 2011; 61 Kadak (ref_28) 2022; 206 Anastassiou (ref_34) 2011; 24 Cybenko (ref_14) 1989; 2 ref_36 Zaman (ref_7) 2024; 9 ref_13 ref_35 Anastassiou (ref_45) 2023; 11 ref_10 ref_31 Karateke (ref_38) 2024; 7 ref_30 Ali (ref_46) 2022; 25 Hornik (ref_11) 1989; 2 Chui (ref_17) 1992; 70 Chen (ref_16) 1995; 6 ref_39 ref_37 Zaman (ref_4) 2024; 57 Anastassiou (ref_33) 1997; 212 Mursaleen (ref_2) 2023; 49 Hahm (ref_18) 2004; 47 Funahashi (ref_15) 1989; 2 ref_25 Costarelli (ref_19) 2013; 44 ref_24 ref_22 Baxhaku (ref_27) 2025; 269 ref_44 ref_42 ref_41 Costarelli (ref_20) 2013; 48 Costarelli (ref_21) 2015; 67 ref_1 Arai (ref_43) 1991; 158 Alamer (ref_6) 2024; 36 ref_26 ref_9 ref_8 McCulloch (ref_40) 1943; 7 Cai (ref_3) 2024; 107 Pinkus (ref_23) 1999; 8 |
| References_xml | – volume: 7 start-page: 45 year: 2024 ident: ref_29 article-title: A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing publication-title: Constr. Math. Anal. – volume: 48 start-page: 72 year: 2013 ident: ref_20 article-title: Multivariate neural network operators with sigmoidal activation functions publication-title: Neural Netw. doi: 10.1016/j.neunet.2013.07.009 – ident: ref_30 – ident: ref_24 doi: 10.1090/surv/263 – ident: ref_35 doi: 10.1007/978-1-4614-6393-1 – volume: 6 start-page: 911 year: 1995 ident: ref_16 article-title: Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems publication-title: IEEE Trans. Neural Netw. doi: 10.1109/72.392253 – volume: 61 start-page: 809 year: 2011 ident: ref_32 article-title: Multivariate hyperbolic tangent neural network approximation publication-title: Comput. Math. – volume: 24 start-page: 378 year: 2011 ident: ref_34 article-title: Multivariate sigmoidal neural network approximation publication-title: Neural Netw. doi: 10.1016/j.neunet.2011.01.003 – ident: ref_26 – volume: 2 start-page: 55 year: 1963 ident: ref_12 article-title: On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition publication-title: Transl. Am. Math. Soc. – volume: 8 start-page: 143 year: 1999 ident: ref_23 article-title: Approximation theory of the MLP model in neural networks publication-title: Acta Numer. doi: 10.1017/S0962492900002919 – ident: ref_8 doi: 10.3390/electronics13224378 – volume: 7 start-page: 35 year: 2024 ident: ref_38 article-title: On an (ι,x0)-Generalized Logistic-Type Function publication-title: Fundam. J. Math. Appl. doi: 10.33401/fujma.1423906 – ident: ref_39 – volume: 49 start-page: 68 year: 2023 ident: ref_2 article-title: Bézier Type Kantorovich q-Baskakov Operators via Wavelets and Some Approximation Properties publication-title: Bull. Iran. Math. Soc. doi: 10.1007/s41980-023-00815-2 – volume: 269 start-page: 126119 year: 2025 ident: ref_27 article-title: Multivariate neural network operators activated by smooth ramp functions publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2024.126119 – ident: ref_22 doi: 10.1007/978-3-031-43021-3_20 – ident: ref_9 doi: 10.3390/jrfm17020069 – volume: 2 start-page: 303 year: 1989 ident: ref_14 article-title: Approximation by superpositions of a sigmoidal function publication-title: Math. Control. Signals Syst. doi: 10.1007/BF02551274 – volume: 212 start-page: 237 year: 1997 ident: ref_33 article-title: Rate of convergence of some neural network operators to the unit-univariate case publication-title: J. Math. Anal. Appl. doi: 10.1006/jmaa.1997.5494 – volume: 7 start-page: 115 year: 1943 ident: ref_40 article-title: A logical calculus of the ideas immanent in nervous activity publication-title: Bull. Math. Biophys. doi: 10.1007/BF02478259 – ident: ref_1 doi: 10.1007/s13226-024-00587-3 – ident: ref_25 – volume: 57 start-page: 20240003 year: 2024 ident: ref_4 article-title: Invariant means and lacunary sequence spaces of order (α,β) publication-title: Demonstr. Math. doi: 10.1515/dema-2024-0003 – ident: ref_31 – volume: 2 start-page: 183 year: 1989 ident: ref_15 article-title: On the approximate realization of continuous mappings by neural networks publication-title: Neural Netw. doi: 10.1016/0893-6080(89)90003-8 – volume: 25 start-page: 1123 year: 2022 ident: ref_46 article-title: Taylor-type expansions in terms of exponential polynomials publication-title: Math. Inequalities Appl. doi: 10.7153/mia-2022-25-69 – volume: 2 start-page: 359 year: 1989 ident: ref_11 article-title: Multilayer feedforward networks are universal approximators publication-title: Neural Netw. doi: 10.1016/0893-6080(89)90020-8 – volume: 44 start-page: 101 year: 2013 ident: ref_19 article-title: Approximation results for neural network operators activated by sigmoidal functions publication-title: Neural Netw. doi: 10.1016/j.neunet.2013.03.015 – ident: ref_10 – volume: 11 start-page: 1 year: 2023 ident: ref_45 article-title: Opial and Ostrowski Type Inequalities Based on Trigonometric and Hyperbolic Type Taylor Formulae publication-title: Malaya J. Mat. doi: 10.26637/mjm11S/001 – ident: ref_36 doi: 10.1007/978-3-319-20505-2 – volume: 70 start-page: 131 year: 1992 ident: ref_17 article-title: Approximation by ridge functions and neural networks with one hidden layer publication-title: J. Approx. Theory doi: 10.1016/0021-9045(92)90081-X – ident: ref_41 – volume: 9 start-page: 4409 year: 2024 ident: ref_7 article-title: Approximation by the modified λ-Bernstein-polynomial in terms of basis function publication-title: AIMS Math. doi: 10.3934/math.2024217 – ident: ref_13 – ident: ref_37 doi: 10.1007/978-3-319-66936-6 – volume: 206 start-page: 117771 year: 2022 ident: ref_28 article-title: Multivariate fuzzy neural network interpolation operators and applications to image processing publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2022.117771 – ident: ref_42 doi: 10.3390/sym16121568 – volume: 158 start-page: 63 year: 1991 ident: ref_43 article-title: Exactly solvable supersymmetric quantum mechanics publication-title: J. Math. Anal. Appl. doi: 10.1016/0022-247X(91)90267-4 – volume: 43 start-page: 428 year: 2024 ident: ref_5 article-title: A note on a general sequence of λ-Szász Kantorovich type operators publication-title: Comput. Appl. Math. doi: 10.1007/s40314-024-02946-6 – volume: 36 start-page: 103333 year: 2024 ident: ref_6 article-title: Approximation by Stancu variant of λ-Bernstein shifted knots operators associated by Bézier basis function publication-title: J. King Saud Univ. Sci. doi: 10.1016/j.jksus.2024.103333 – volume: 47 start-page: 1897 year: 2004 ident: ref_18 article-title: An approximation by neural networks with a fixed weight publication-title: Comput. Math. Appl. doi: 10.1016/j.camwa.2003.06.008 – volume: 67 start-page: 28 year: 2015 ident: ref_21 article-title: Neural network operators: Constructive interpolation of multivariate functions publication-title: Neural Netw. doi: 10.1016/j.neunet.2015.02.002 – ident: ref_44 doi: 10.1142/13857 – volume: 107 start-page: 205 year: 2024 ident: ref_3 article-title: Approximation by a new Stancu variant of generalized (λ,μ)-Bernstein operators publication-title: Alex. Eng. J. doi: 10.1016/j.aej.2024.07.015 |
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| SubjectTerms | Algorithms Approximation Artificial intelligence Banach spaces Continuity (mathematics) Datasets Fuzzy sets Hyperbolic functions iterated approximation multi-layer approximation Multivariate analysis multivariate density function multivariate modulus of continuity multivariate trigonometric and hyperbolic neural network approximation Neural networks Neurons Operators (mathematics) parameterized half-hyperbolic tangent function |
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