Classification of data using multilayered perceptron neural network
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...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6078/ http://eprints.uthm.edu.my/6078/1/Classification_of_Data_Using_Multilayered.pdf |
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| Summary: | 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. |
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