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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Main Authors: | , , , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2017
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Subjects: | |
Online Access: | 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 http://umpir.ump.edu.my/id/eprint/28990/ https://doi.org/10.1109/ICSGRC.2017.8070580 |
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