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 1868-4238Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|Keywords:||multi-classify, hybrid multilayered perceptron , HMLP, network , pattern recognition applications, Electrical engineering. Electronics Nuclear engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
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|Depositing user:||Pure Administrator|
|Date Deposited:||02 Nov 2012 05:46|
|Last modified:||13 Jan 2014 16:37|
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