dc.contributor.authorYuan, Yiyang
dc.date.accessioned2016-11-14T03:29:10Z
dc.date.available2016-11-14T03:29:10Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/69171
dc.description.abstractThe machine learning algorithms like Projection Based Learning algorithm in Meta-cognitive Radial Basis Function Network (PBL-McRBFN) look up to human brain in attempts to make its computation more efficient. However, the performance of this algorithm is limited by the nature of sequential learning. In this project we bring Big Data-era technology Apache Spark cluster computing platform to use with this algorithm in an attempt to achieve collaborative distributed learning. Amidst the various difficulties, the project achieved a partial success while discovering other potential issues in using Spark to achieve the goal.en_US
dc.format.extent50 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.titleComputational cognition for big data analyticsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisor2Suresh Sundaramen_US


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