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|Title:||Learning to forget in an online fuzzy neural network using dynamic forgetting window||Authors:||Tan, Benjamin Kok Loong.||Keywords:||DRNTU::Engineering::Computer science and engineering||Issue Date:||2013||Abstract:||This proposed architecture of using a Dynamic Window to compute the forgetting factor which would be able to provide thorough analysis of the self-reorganizing approach when applied to time-variant financial market such as S&P-500 index. When handling such large market, drifts and shifts in inevitable and the system require the ability to have self-reorganizing abilities. To increase its accuracy, the proposed architecture uses the variable dynamic window to adjust the forgetting factor accordingly.||URI:||http://hdl.handle.net/10356/55039||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Student Reports (FYP/IA/PA/PI)|
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