Training multilayer neural network based on optimal control theory for limited computational resources
Backpropagation (BP)-based gradient descent is the general approach to train a neural network with a multilayer perceptron. However, BP is inherently slow in learning, and it sometimes traps at local minima, mainly due to a constant learning rate. This pre-fixed learning rate regularly leads the BP...
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Main Authors: | Alkawaz, Ali Najem, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Badruddin, Irfan Anjum, Kamangar, Sarfaraz, Hussien, Mohamed, Baig, Maughal Ahmed Ali, Ahammad, N. Ameer |
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Format: | Article |
Published: |
MDPI
2023
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Online Access: | http://eprints.um.edu.my/38665/ |
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