Computational cognition for big data analytics

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....

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Main Author: Yuan, Yiyang
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2016
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Online Access:http://hdl.handle.net/10356/69171
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-691712023-03-03T20:47:00Z Computational cognition for big data analytics Yuan, Yiyang School of Computer Engineering Suresh Sundaram DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence 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. Bachelor of Engineering (Computer Science) 2016-11-14T03:29:10Z 2016-11-14T03:29:10Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/69171 en Nanyang Technological University 50 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Yuan, Yiyang
Computational cognition for big data analytics
description 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Yuan, Yiyang
format Final Year Project
author Yuan, Yiyang
author_sort Yuan, Yiyang
title Computational cognition for big data analytics
title_short Computational cognition for big data analytics
title_full Computational cognition for big data analytics
title_fullStr Computational cognition for big data analytics
title_full_unstemmed Computational cognition for big data analytics
title_sort computational cognition for big data analytics
publishDate 2016
url http://hdl.handle.net/10356/69171
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