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Neural explicit and implicit knowledge representation
Neagu, C.-D.; Palade, V.;
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Volume 1,
30 Aug.-1 Sept. 2000
Page(s):213
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216 vol.1
Abstract:
A unified approach for integrating explicit and implicit knowledge in connectionist knowledge-based systems is proposed. The explicit knowledge is represented by discrete fuzzy rules which are directly mapped into an equivalent multi-purpose neural network based on a MAPI neuron. Some methods based upon interactive fuzzy operators are presented in order to extract fuzzy rules from trained neural networks. An architecture for a neural knowledge-based system is proposed as a combination of modules based on data learning and fuzzy rules mapping. The combination of explicit and implicit knowledge modules is viewed as an iterative process in knowledge acquisition and refinement
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