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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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書誌詳細
主要な著者:	Alkawaz, Ali Najem, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Badruddin, Irfan Anjum, Kamangar, Sarfaraz, Hussien, Mohamed, Baig, Maughal Ahmed Ali, Ahammad, N. Ameer
フォーマット:	論文
出版事項:	MDPI 2023
主題:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.um.edu.my/38665/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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