Classification of data using multilayered perceptron neural network

Joret, Ariffuddin and Zainudin, Siti Zuraidah and Mat Isa, Nor Ashidi and Abdullah, Jiwa and Zamli, Kamal Zuhairi and Abdullah, Mohammad Faiz Liew and Ponniran, Asmarashid (2012) Classification of data using multilayered perceptron neural network. In: Proceeding of National Conference of Electric and Electronic Engineering 2012.

[img]
Preview
PDF
262Kb

Abstract

Neural networks become widely in its application to help human in the identification process nowadays. However, to have a neural network system which is able to provide 100% accuracy performance and providing optimum value structure is difficult. In this project, multilayer perceptron neural network with Backpropagation as its algorithm has been trained and tested for its accuracy. The multilayer perceptron neural network has been tested using gravel data which have been categorized into 6 categories and gives 82.90% of the network classifying performance for optimum structure with 16 hidden node.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:neural network; multilayered perception; backpropagation leaning algorithm
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Faculty of Electrical and Electronic Engineering > Department of Communication Engineering
ID Code:6078
Deposited By:Normajihan Abd. Rahman
Deposited On:18 Feb 2015 16:39
Last Modified:18 Feb 2015 16:39

Repository Staff Only: item control page