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.
Type de document :
Communication dans un congrès
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〉
https://hal.inria.fr/hal-01521433
Contributeur : Hal Ifip
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Soumis le : jeudi 11 mai 2017 - 17:10:48
Dernière modification le : vendredi 1 décembre 2017 - 01:16:30
Document(s) archivé(s) le : samedi 12 août 2017 - 13:57:09
