A Study on the Optimal Double Parameters for Steepest Descent with Momentum

DOI10.1162/NECO_a_00710zbMath1473.68175WikidataQ50606459 ScholiaQ50606459MaRDI QIDQ5380232

Naimin Zhang

Publication date: 4 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quadratic programming (90C20)

Related Items (1)

Dealing with multi-modality using synthesis of moth-flame optimizer with sine cosine mechanisms

Cites Work

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• Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method
• Practical selection of SVM parameters and noise estimation for SVM regression
• Optimal parameters of the generalized symmetric SOR method for augmented systems
• Learning representations by back-propagating errors
• Semistability of Steepest Descent with Momentum for Quadratic Functions

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