Please use this identifier to cite or link to this item:
Title: Computational cognition for big data analytics
Authors: Yuan, Yiyang
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2016
Abstract: The 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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
636.65 kBAdobe PDFView/Open

Google ScholarTM


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