A Distributed Adaptive Neuro-Fuzzy Network for Chaotic Time Series Prediction
In this paper a Distributed Adaptive Neuro-Fuzzy Architecture (DANFA) model with a second order Takagi-Sugeno inference mechanism is presented. The proposed approach is based on the simple idea to reduce the number of the fuzzy rules and the computational load, when modeling nonlinear systems. As a...
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| Format: | Article |
| Language: | English |
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Sciendo
2015-03-01
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| Series: | Cybernetics and Information Technologies |
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| Online Access: | https://doi.org/10.1515/cait-2015-0003 |