Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70592
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLeow, Jackson Yu Sheng-
dc.date.accessioned2017-05-04T08:52:04Z-
dc.date.available2017-05-04T08:52:04Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/10356/70592-
dc.description.abstractThis project attempts to forecast large relaxation events in complex systems, and in particular, the Bak-Tang-Wiesenfeld (BTW) Sandpile Model. While this unique Self- Organised Criticality (SOC) model has been intensively studied, due to the random nature of its external perturbation, few believe in the feasibility of predicting large relaxation events in such complex systems. That being said, with recent findings on the predictability of stock market crashes by Cheong et al., we are motivated to propose otherwise. Given that a large avalanche event requires time to build up, history of past avalanche events and interactions among sites can provide crucial information for further studies. The information can be extracted out from sliding-window correlation matrices, leading up to a large relaxation event for analysis. The methods for analysis include the Fusion-Fission Model by Johnson et al., Hierarchical Clustering by Mantegna et al. and Interaction Hierarchical Clustering by Cheong et al. Results computed from these methods have shown unique cluster dynamic behaviour and provides insight to properties that are crucial before the occurrence of a large relaxation event. We believe that this serves as a springboard for prediction approaches in other Self- Organised Criticality (SOC) systems.en_US
dc.format.extent48 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Scienceen_US
dc.titleForecasting large avalanches in Bak, Tang and Wiesenfeld sandpile modelen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCheong Siew Annen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.description.degreeBachelor of Science in Physicsen_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
PH4405-LEOW YU SHENG%2cJACKSON-FORECASTING LARGE AVALANCHE IN BTW SANDPILE MODEL.pdf
  Restricted Access
Final Year Project Thesis12.26 MBAdobe PDFView/Open

Page view(s) 20

158
checked on Oct 25, 2020

Download(s) 20

11
checked on Oct 25, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.