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 (https://doi.org/10.1007/978-3-642-33409-2_3)
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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.
ORCID iDs
Bin Hashim, Fakroul Ridzuan
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Item type: Article ID code: 41880 Dates: DateEvent2012PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 02 Nov 2012 05:46 Last modified: 31 Jan 2025 08:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/41880