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The Cartographer
An Evolving Neuro-Fuzzy System with Online Learning/Self-learning
October 20, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko
arXiv ID
1610.06488
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.NE
Citations
10
Venue
arXiv.org
Last Checked
4 months ago
Abstract
An architecture of a new neuro-fuzzy system is proposed. The basic idea of this approach is to tune both synaptic weights and membership functions with the help of the supervised learning and self-learning paradigms. The approach to solving the problem has to do with evolving online neuro-fuzzy systems that can process data under uncertainty conditions. The results prove the effectiveness of the developed architecture and the learning procedure.
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