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

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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.

Creators(s): Bin Hashim, Fakroul Ridzuan ORCID logoORCID: https://orcid.org/0000-0003-2638-3006, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Petropoulakis, Lykourgos ORCID logoORCID: https://orcid.org/0000-0003-3230-9670;
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:20 Jan 2021 20:22
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URI:https://strathprints.strath.ac.uk/id/eprint/41880
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