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: | , , , , , , , |
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格式: | Article |
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MDPI
2023
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在線閱讀: | http://eprints.um.edu.my/38665/ |
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