Problem of Constructing an Ontological Metamodel Of Iterative Group Method of Data Handling Algorithms
Year: 2022
Type: article
Abstract: Introduction.Data volumes are permanently increasing and some new approaches are needed for storage and processing them considering the development and improvement of modern computers.This puts forward new requirements to automatic data processing tools and intelligent systems for analyzing information with taking into account its semantics.The advantage of iterative group method of data handling (GMDH) algorithms is that they are able to work with a large number of arguments.The generalized iterative GMDH algorithm includes various former modifications of these algorithms.For example, algorithms of multilayer and relaxation types as well as varieties of iterative-combinatorial (hybrid) algorithms are diverse particular cases of the generalized one.Metamodeling is the construction of generalized models of a certain group of objects (software tools, mathematical models, information systems).An ontological metamodel of the iterative GMDH algorithms was built using the Protege tools in order to structure knowledge in this subject area. The purpose of the paper is to analyze the developed iterative GMDH algorithms and propose an approach to structuring knowledge оn iterative GMDH algorithms by building an ontological metamodel of this subject area.Results.A retrospective analysis of the developed iterative GMDH algorithms іs carried out in the paper, their advantages and disadvantages are indicated.It is shown that the generalized iterative algorithm, whose special cases are both known and new varieties of multilayer, relaxation and iterative-combinatorial GMDH algorithms, makes it possible to compare the effectiveness of various algorithms and solve real modeling problems.Based on the results of this study, an ontological metamodel of iterative GMDH algorithms has been developed.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4308239169