DEVELOPMENT OF A BP-SCHEME MODEL BASED ON THE AUTOMATA THEORY AND USING QUANTUM PROGRAMMING METHODS-Reference-Cited by-同舟云学术

DEVELOPMENT OF A BP-SCHEME MODEL BASED ON THE AUTOMATA THEORY AND USING QUANTUM PROGRAMMING METHODS

Published:2024-03-29 Issue:1 Volume:2024 Page:21-32
ISSN:2658-6436
Container-title:Automation and modeling in design and management
language:en
Short-container-title:

Author:

Belyaev Igor'¹,Petrov Aleksey¹,Popov Anton²³

Affiliation:

1. Zapolyarnyy gosudarstvennyy universitet im. N.M. Fedorovskogo

2. Tyumenskiy gosudarstvennyy universitet

3. Gosudarstvennyy agrarnyy universitet Severnogo Zaural'ya

Abstract

The paper describes the concept of a new type of abstract automata “BP-scheme” (Business Process) that effectively distributes management commands between entities with their permanent growth in the paradigm of complexly modelled systems. The paper investigates the proposed model of the BP-scheme implementation, which is an artificial neural network, functioning based on fuzzy logic rules using the Takagi-Sugeno algorithm, for deriving rules in the form of functional dependencies. The model uses QPU (Quantum Processing Unit) in computing system behaviour, which implies a quick response to changes in the system entities. QPU used taking into account the developed rules of fuzzy neural network allows improving scenarios and predictive models of a complex system behaviour.

Publisher

Bryansk State Technical University BSTU

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