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ICANN
2003
Springer

Knowledge Refinement Using Fuzzy Compositional Neural Networks

9 years 11 months ago
Knowledge Refinement Using Fuzzy Compositional Neural Networks
Fuzzy relations as representational tools and fuzzy compositional operators as reasoning components, are user in this paper in order to represent knowledge expressed in semantic rules. Furthermore, neural representation and resolution of composite fuzzy relation equations provides knowledge refinement and adaptation to a specific context. A two-layer fuzzy compositional neural network is proposed in this work, with a learning algorithm changing the weights and minimize the error of the small context changes.
Vassilis Tzouvaras, Giorgos B. Stamou, Stefanos D.
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where ICANN
Authors Vassilis Tzouvaras, Giorgos B. Stamou, Stefanos D. Kollias
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