Ontology-Based Representation of an Artificial Neural Networks

The paper considers a method for combining knowledge bases and artificial neural networks to solve complicated problems. A model for artificial neural networks (ANN) representation and actions for their processing in the knowledge base is required and is justified. The subject domains and associated...

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Bibliographic Details
Published inOpen Semantic Technologies for Intelligent Systems Vol. 1625; pp. 132 - 151
Main Author Kovalev, Mikhail
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2022
Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
ANN
knowledge base
neuro-symbolic AI
Online AccessGet full text
ISBN3031158814
9783031158810
ISSN1865-0929
1865-0937
DOI10.1007/978-3-031-15882-7_8

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Summary:The paper considers a method for combining knowledge bases and artificial neural networks to solve complicated problems. A model for artificial neural networks (ANN) representation and actions for their processing in the knowledge base is required and is justified. The subject domains and associated ontologies for the following concepts are used to represent this model: a) ANN; b) actions for ANN processing. This page describes these subject domains and ontologies.
ISBN:3031158814
9783031158810
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-031-15882-7_8