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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.
Cited literature [8 references]
https://hal.inria.fr/hal-01521433
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Submitted on : Thursday, May 11, 2017 - 5:10:48 PM
Last modification on : Wednesday, November 25, 2020 - 4:42:03 PM
Long-term archiving on: : Saturday, August 12, 2017 - 1:57:09 PM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, May 11, 2017 - 5:10:48 PM
Last modification on : Wednesday, November 25, 2020 - 4:42:03 PM
Long-term archiving on: : Saturday, August 12, 2017 - 1:57:09 PM
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