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Individual and ensemble functional link neural networks for data classification

Babaei, Toktam 2018, Individual and ensemble functional link neural networks for data classification, Ph.D thesis, Institute for Intelligent Systems Research and Innovation, Deakin University.

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Title Individual and ensemble functional link neural networks for data classification
Author Babaei, Toktam
Institution Deakin University
School Institute for Intelligent Systems Research and Innovation
Faculty GTP Research
Degree type Research doctorate
Degree name Ph.D
Thesis advisor Nahavandi SaeidORCID iD for Nahavandi Saeid orcid.org/0000-0002-0360-5270
Date submitted 2018-04-16
Summary This study investigated the Functional Link Neural Network (FLNN) for solving data classification problems. FLNN based models were developed using evolutionary methods as well as ensemble methods. The outcomes of the experiments covering benchmark classification problems, positively demonstrated the efficacy of the proposed models for undertaking data classification problems.
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
Description of original 115 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30111037

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Created: Thu, 12 Jul 2018, 11:39:08 EST by Bayne Christine

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.