Fuzzy associative learning of feature dependency for time series forecasting
Neuro-fuzzy system (NFS) has successfully been widely applied in solving problems across diverse fields, such as signal detection, fault detection, and forecasting. In recent years, many forecasting problems require the processing and learning of large number of dynamic data streams. Existing system...
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Main Authors: | , , , |
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格式: | Conference or Workshop Item |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/97871 http://hdl.handle.net/10220/12421 |
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機構: | Nanyang Technological University |
語言: | English |
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