Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm

• Mark D. McDonnell ,

  * E-mail: mark.mcdonnell@unisa.edu.au

  Affiliation Computational and Theoretical Neuroscience Laboratory, Institute for Telecommunications Research, School of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA 5095, Australia

  ⨯
• Migel D. Tissera,

  Affiliation Computational and Theoretical Neuroscience Laboratory, Institute for Telecommunications Research, School of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA 5095, Australia

  ⨯
• Tony Vladusich,

  Affiliation Computational and Theoretical Neuroscience Laboratory, Institute for Telecommunications Research, School of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA 5095, Australia

  ⨯
• André van Schaik,

  Affiliation Biomedical Engineering and Neuroscience Group, The MARCS Institute, The University of Western Sydney, Penrith, NSW 2751, Australia

  ⨯
• Jonathan Tapson

  Affiliation Biomedical Engineering and Neuroscience Group, The MARCS Institute, The University of Western Sydney, Penrith, NSW 2751, Australia

  ⨯