Multi-classify hybrid multilayered perceptron (HMLP) network for pattern recognition applications

Fakroul Ridzuan Bin Hashim, John Soraghan, Lykourgos Petropoulakis

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This paper introduces a Hybrid Multilayered Perceptron (HMLP) based classifier known as the Multi-Classify HMLP network (MCHMLP). This network is shown to be able to enhance the performance accuracy when compared to the conventional HMLP network. The Multi-Classify HMLP network architecture is trained using a Modified Recursive Prediction Error (MRPE). This study uses three benchmark datasets in order to measure the capability of the network. The results show that the proposed Multi-Classify HMLP network provides a significant improvement over the conventional HMLP network for pattern recognition applications.
Original languageEnglish
Pages (from-to)19-27
Number of pages9
JournalIFIP Advances in Information and Communication Technology
Volume381
DOIs
Publication statusPublished - 2012

Keywords

  • multi-classify
  • hybrid multilayered perceptron
  • HMLP
  • network
  • pattern recognition applications

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