Neural Networks Representation For Semantic Networks

摘要: Semantic network is one of the very well-known knowledge representation approaches. In various cases there inaccuracy or incompleteness, such problems can be overcome through machine learning. this paper we present an approach to convert semantic networks neural ready for learning process. The conversion process considers all possible concepts and relations in whether they already exist not. proposed structure has several layers, as layer, relation layer layer. For process, it have independent training networks.