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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Elizondo, D. A., & Góngora, M. A. (2005). Current trends on knowledge extraction and neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3697 LNCS, pp. 485–490). https://doi.org/10.1007/11550907_76
Mendeley helps you to discover research relevant for your work.