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

Bin Hashim, Fakroul Ridzuan and Soraghan, John and Petropoulakis, Lykourgos (2012) Multi-classify hybrid multilayered perceptron (HMLP) network for pattern recognition applications. IFIP Advances in Information and Communication Technology, 381. pp. 19-27. ISSN 1868-4238

Full text not available in this repository. Request a copy from the Strathclyde author

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.

Item type:	Article
ID code:	41880
Keywords:	multi-classify, hybrid multilayered perceptron , HMLP, network , pattern recognition applications, Electrical engineering. Electronics Nuclear engineering, Information Systems and Management
Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
Department:	Faculty of Engineering > Electronic and Electrical Engineering Technology and Innovation Centre > Sensors and Asset Management
Depositing user:	Pure Administrator
Date deposited:	02 Nov 2012 05:46
Last modified:	31 Mar 2017 03:37
Related URLs:	Scopus publication Publisher
URI:	https://strathprints.strath.ac.uk/id/eprint/41880
Export data:	RDF+XMLBibTeXRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteMODSOpenURL ContextObject in SpanMPEG-21 DIDLEP3 XMLReference ManagerRDF+N3Grid (abstract)Multiline CSV