A Meta-cognitive Recurrent Fuzzy Inference System with Memory Neurons (McRFIS-MN) and its fast learning algorithm for time series forecasting
In this paper, a Meta-cognitive Recurrent Fuzzy Inference System is proposed where recurrence is brought using Memory type Neurons (McRFIS-MN) to retain the effect of all past instances, while the meta-cognition component is employed to control the learning process, by deciding what-to-learn, when-t...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/144532 |