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

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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书目详细资料
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
格式: Conference or Workshop Item
语言:English
English
出版: IEEE 2017
主题:
QA Mathematics
QD Chemistry
TP Chemical technology
在线阅读: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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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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