Algebraic Spaces and Set Decompositions

The contribution is growing up from certain parts of scientific work by professor Boruvka in several ways. Main focus is on the decomposition theory, especially algebraized decompositions of groups. Professor Boruvka in his excellent and well-known book [3] has developed the decomposition (partition) theory, where the fundamental role belongs to so called generating decompositions. Furthermore, the contribution is also devoted to hypergroups, to algebraic spaces called also quasi-automata or automata without outputs. There is attempt to develop more fresh view point on this topic

General ω-hyperstructures and certain applications of those

The aim of this paper is to investigate general hyperstructures construction of which is based on ideas of A. D. Nezhad and R. S. Hashemi. Concept of general hyperstructures considered by the above mentioned authors is generalized on the case of hyperstructures with hyperoperations of countable arity. Speci cations of treated concepts to examples from various elds of the mathematical sturctures theory are also included.

Characterizations of totally ordered sets by their various endomorphisms

summary:We characterize totally ordered sets within the class of all ordered sets containing at least three-element chains using a simple relationship between their isotone transformations and the so called 2-, 3-, 4-endomorphisms which are introduced in the paper. Another characterization of totally ordered sets within the class of ordered sets of a locally finite height with at least four-element chains in terms of the regular semigroup theory is also given

Series of Semihypergroups of Time-Varying Articial Neurons and Related Hyperstructures

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 articial neurons. In this article, focusing on semihyperstructures and using the above described procedure, the authors bring new insights into structures and hyperstructures of articial neurons and their possible symmetric relations