Bin Hashim, Fakroul Ridzuan and Soraghan, John and Petropoulakis, Lykourgos (2012) Multi-classify hybrid multilayered perceptron (HMLP) network for pattern recognition applications. IFIP International Federation for Information Processing, 0381. ISSN 1571-5736 (In Press)
Full text not available in this repository. (Request a copy from the Strathclyde author)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.
| Item type: | Article |
|---|---|
| ID code: | 41880 |
| Keywords: | multi-classify, hybrid multilayered perceptron , HMLP, network , pattern recognition applications, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 02 Nov 2012 05:46 |
| Last modified: | 10 Apr 2013 10:41 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/41880 |
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