Multi-classify Hybrid Multilayered Perceptron (HMLP) Network for Pattern Recognition Applications

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.
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Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.19-27, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_3〉
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Fakroul Bin Hashim, John Soraghan, Lykourgos Petropoulakis. Multi-classify Hybrid Multilayered Perceptron (HMLP) Network for Pattern Recognition Applications. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.19-27, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_3〉. 〈hal-01521433〉

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