In this work we present the integration of neural networks with a rule based expert system.
The system realizes the automatic acquisition of knowledge out of a set of examples. It …

Abstract Machine Learning is an area concerned with the automation of the process of
knowledge acquisition. Neural networks generally represent their knowledge at the lower …

Abstract Knowledge-Based Systems are used in medical diagnoses. They have the
advantage to give an explanation of a diagnosis. But a main problem when dealing with …

This article elaborates on the role of neural networks in data mining, especially
classification, and presents various ways of using them in this area. In order to do this the …

A major bottleneck in developing knowledge‐based systems is the acquisition of
knowledge. Machine learning is an area concerned with the automation of this process of …

A part of the project WINA, sponsored by the German Ministery of Science and Technology,
we are studying the integration of Artificial Neural Networks (ANN) with a rule based Expert …

A major bottleneck in building expert systems is the process of acquiring the required
knowledge in the form of production rules. A novel class of neural networks is proposed to …

Abstract Knowledge acquisition is a frequent bottleneck in artificial intelligence applications.
Neural learning may offer a new perspective in this field. Using Self-Organising Neural …

Hybrid intelligent systems that combine knowledge-based and artificial neural network
systems typically have four phases, involving domain knowledge representation, mapping of …

Rule extraction with neural networks is a subject of increasing interest. Research in this area
could benefit from the availability of a formal model of the semantics of the rules. A model of …