Picture of wind turbine against blue sky

Open Access research with a real impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

The Energy Systems Research Unit (ESRU) within Strathclyde's Department of Mechanical and Aerospace Engineering is producing Open Access research that can help society deploy and optimise renewable energy systems, such as wind turbine technology.

Explore wind turbine research in Strathprints

Explore all of Strathclyde's Open Access research content

Multi-classify hybrid multilayered perceptron (HMLP) network for pattern recognition applications

Bin Hashim, Fakroul Ridzuan and Soraghan, John and Petropoulakis, Lykourgos (2012) Multi-classify hybrid multilayered perceptron (HMLP) network for pattern recognition applications. IFIP Advances in Information and Communication Technology, 381. pp. 19-27. ISSN 1868-4238

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.