Online neuro-fuzzy models for real time flow forecasting
Forecasting with limited data or sparse data are two main challenges needed to be addressed. Data should be representative of the system under consideration when forecasting with traditional neuro-fuzzy models (NFMs); the condition which is not met in case of forecasting with limited data. Also trad...
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| Format: | Thesis |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/69917 |