TY - JOUR
T1 - Multi-classify hybrid multilayered perceptron (HMLP) network for pattern recognition applications
AU - Bin Hashim, Fakroul Ridzuan
AU - Soraghan, John
AU - Petropoulakis, Lykourgos
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - multi-classify
KW - hybrid multilayered perceptron
KW - HMLP
KW - network
KW - pattern recognition applications
UR - http://www.scopus.com/inward/record.url?scp=84870841948&partnerID=8YFLogxK
UR - http://dl.ifip.org/
U2 - 10.1007/978-3-642-33409-2_3
DO - 10.1007/978-3-642-33409-2_3
M3 - Article
SN - 1868-4238
VL - 381
SP - 19
EP - 27
JO - IFIP Advances in Information and Communication Technology
JF - IFIP Advances in Information and Communication Technology
ER -