2019
DOI: 10.1007/s00521-018-03998-6
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Convergence in Orlicz spaces by means of the multivariate max-product neural network operators of the Kantorovich type and applications

Abstract: In this paper, convergence results in a multivariate setting have been proved for a family of neural network operators of the maxproduct type. In particular, the coefficients expressed by Kantorovich type means allow to treat the theory in the general frame of the Orlicz spaces, which includes as particular case the L p -spaces. Examples of sigmoidal activation functions are discussed, for the above operators in different cases of Orlicz spaces. Finally, concrete applications to real world cases have been pres… Show more

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Cited by 36 publications
(24 citation statements)
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References 51 publications
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“…First of all, we consider the case of the Kantorovich NN type operators activated by the well-known logistic function (see, e.g., [20,40,41] and Fig. 1):…”
Section: Applications With the Logistic Functionmentioning
confidence: 99%
“…First of all, we consider the case of the Kantorovich NN type operators activated by the well-known logistic function (see, e.g., [20,40,41] and Fig. 1):…”
Section: Applications With the Logistic Functionmentioning
confidence: 99%
“…As an alternative to the well-known linear approximation operators, recently, various types of nonlinear approximation operators have been introduced. First, we mention the so called max-product type operators, a class of subadditive and positively homogeneous operators, used as alternatives for the linear counterparts in many areas such as, approximation operators (see, e. g., [2], [3], [20]), interpolation operators (see, e. g., [5], [9]), sampling operators (see, e. g., [6], [8]), neural network operators (see, e. g., [1], [13], [14]) and others (see, e. g. [18], [17], [19], [21]). A detailed account on the theory of max-product type operators can be found in the monograph [4].…”
Section: Introductionmentioning
confidence: 99%
“…This represents a wide field of investigations, due to its practical applications in various sectors of applied sciences (see e.g. [1,2,[20][21][22][23][24][25] and references therein).…”
Section: Introductionmentioning
confidence: 99%