Fuzzy associative learning of feature dependency for time series forecasting

• المؤلفون الرئيسيون: Ng, See Kiong, Cheu, Eng Yeow, Sim, Kelvin, Quek, Chai
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/97871; http://hdl.handle.net/10220/12421
• المؤسسة: Nanyang Technological University

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...