Times Series Forecasting using Chebyshev Functions based Locally Recurrent neuro-Fuzzy Information System
The model proposed in this paper, is a hybridization of fuzzy neural network (FNN) and a functional link neural system for time series data prediction. The TSK-type feedforward fuzzy neural network does not take the full advantage of the use of the fuzzy rule base in accurate input-output mapping an...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer
2017-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25865513/view |
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