Integration of artificial neural networks and knowledge bases

Abstract

This article reviews the questions and directions of integration of artificial neural networks with knowledge bases. There are two main directions of integration: 1) the inputs and outputs of artificial neural network to use integration of knowledge bases and artificial neural networks for solutions of application problems; 2) by artificial neural network representation on the basis of ontological structures and its interpretation by means of knowl- edge processing in the knowledge base providing an intelligent environment for the development, training and integration of different artificial neural networks compatible with knowledge bases. The knowledge bases that are integrated with artificial neu- ral networks are built on the basis of homogeneous semantic networks and multiagent approach to represent and process knowledge.