Current trends on knowledge extraction and neural networks

Authors:
David A. Elizondo;Mario A. Góngora
Affiliations:
School of Computing, Faculty of Computing Sciences and Engineering, De Montfort University, Leicester, UK;School of Computing, Faculty of Computing Sciences and Engineering, De Montfort University, Leicester, UK
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

The extraction of knowledge from trained neural networks provides a way for explaining the functioning of a neural network. This is important for artificial networks to gain a wider degree of acceptance. An increasing amount of research has been carried out to develop mechanisms, procedures and techniques for extracting knowledge from trained neural networks. This publication presents some of the current research trends on extracting knowledge from trained neural networks.