2019
DOI: 10.3390/sym11070927
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Series of Semihypergroups of Time-Varying Artificial Neurons and Related Hyperstructures

Abstract: Detailed analysis of the function of multilayer perceptron (MLP) and its neurons together with the use of time-varying neurons allowed the authors to find an analogy with the use of structures of linear differential operators. This procedure allowed the construction of a group and a hypergroup of artificial neurons. In this article, focusing on semihyperstructures and using the above described procedure, the authors bring new insights into structures and hyperstructures of artificial neurons and their possible… Show more

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Cited by 4 publications
(9 citation statements)
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“…In this section, we will include several examples of the above reasoning. We will apply the theoretical results in the area of artificial neurons, i.e., in a way, continue with the paper [11] which focuses on artificial neurons. For notation, recall [11].…”
Section: Practical Applications Of the Sequencesmentioning
confidence: 98%
See 3 more Smart Citations
“…In this section, we will include several examples of the above reasoning. We will apply the theoretical results in the area of artificial neurons, i.e., in a way, continue with the paper [11] which focuses on artificial neurons. For notation, recall [11].…”
Section: Practical Applications Of the Sequencesmentioning
confidence: 98%
“…We will apply the theoretical results in the area of artificial neurons, i.e., in a way, continue with the paper [11] which focuses on artificial neurons. For notation, recall [11]. Further on we consider a generalization of the usual concept of artificial neurons.…”
Section: Practical Applications Of the Sequencesmentioning
confidence: 98%
See 2 more Smart Citations
“…By extensive hypergroup in the sense of hypercompositional structures we mean a hypergroup that {a, b} ⊆ a * b for all a, b ∈ H, i.e., that the elements are included in its "resalt of hyperoperation". For the same application on this theory in other science or real-life problems see, for example, [3][4][5][6][7].…”
Section: Basic Terminology Of the Hyperstructure Theorymentioning
confidence: 99%