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...
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Main Authors: | , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/144532 |
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Institution: | Nanyang Technological University |
Language: | English |
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