dc.contributor.authorKaran, Braba
dc.date.accessioned2016-05-14T04:40:59Z
dc.date.available2016-05-14T04:40:59Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/67301
dc.description.abstractThis project aims at comparing two distinct classifiers and their ability to accurately classify zeolites to its framework structure. The software chosen for this project is WEKA. This is one of the software used by students from computational science in consolidating variables and coming up with predictions. The objective of this project is to accurately classify a zeolite into its framework type based on its largest cavity diameter. If proven viable, this would allow scientists to save time in analysis such as SEM, TEM and XRD to classify a zeolite into its respective framework type. The results of the classification type are based entirely on the computational algorithm set by the classifier therefore; it reduces the human errors that might be involved with this research. As more and more zeolite structures are being identified and with them, billions of dollars affecting the industry, this research is important as it saves time which translates to money in the industrial world.en_US
dc.format.extent40 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleMachine based approach for structure based zeolite classificationen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSu Haibinen_US
dc.contributor.schoolSchool of Materials Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Materials Engineering)en_US


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