Analysis of algorithms variation in multilayer perceptron neural network for agarwood oil qualities classification

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Analysis of algorithms variation in multilayer perceptron neural network for agarwood oil qualities classification

This study investigates the performance of the Multilayer Perceptron (MLP) classifier in discriminating the qualities of agarwood oil significant compounds by different qualities based on three training algorithms namely Scaled Conjugate Gradient (SCG), Levernbergh-Marquardt (LM) and Resilient Backp...

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Bibliographic Details
Main Authors:	Nurul Shakila, Ahmad Zubir, Mohamad Aqib Haqmi, Abas, Ismail, N. A., Nor Azah, Mohd Ali, Mohd Hezri, Fazalul Rahiman, Ng, K. M., Saiful Nizam, Tajuddin
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2017
Subjects:	QA Mathematics QD Chemistry TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/28990/ http://umpir.ump.edu.my/id/eprint/28990/1/Analysis%20of%20algorithms%20variation%20in%20multilayer%20perceptron%20neural%20network%20.pdf http://umpir.ump.edu.my/id/eprint/28990/2/Analysis%20of%20algorithms%20variation%20in%20multilayer%20perceptron%20neural%20network_FULL.pdf

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