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- W2950509670 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." @default.
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- W2950509670 date "2016-10-20" @default.
- W2950509670 modified "2023-09-22" @default.
- W2950509670 title "An Evolving Neuro-Fuzzy System with Online Learning/Self-learning" @default.
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