Training Multilayer Neural Network Based on Optimal Control Theory for Limited Computational Resources

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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Bibliographic Details
Main Authors: Ali Najem Alkawaz, Jeevan Kanesan, Anis Salwa Mohd Khairuddin, Irfan Anjum Badruddin, Sarfaraz Kamangar, Mohamed Hussien, Maughal Ahmed Ali Baig, N. Ameer Ahammad
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
multilayer neural network
optimal control
Pontryagin minimum principle
backpropagation
logic gates
Online Access:https://www.mdpi.com/2227-7390/11/3/778

Internet

https://www.mdpi.com/2227-7390/11/3/778

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