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.
https://hal.inria.fr/hal-01521433 Contributor : Hal IfipConnect 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