Robotics & Machine Learning Daily News2024,Issue(Sep.3) :112-112.

Findings from College of Mathematics and Physics Yields New Findings on Machine Learning (A Family of Spectral Conjugate Gradient Methods With Strong Convergenc e and Its Applications In Image Restoration and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :112-112.

Findings from College of Mathematics and Physics Yields New Findings on Machine Learning (A Family of Spectral Conjugate Gradient Methods With Strong Convergenc e and Its Applications In Image Restoration and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Guangxi, People’ s Republic of China, by NewsRx journalists, research stated, “In thispaper, we propose a family of spectral conjugate gradient methods for solving unconstraine d optimizationproblems. Specifically, we provide two classes of bounded spectra l parameters to be chosen, design a newtruncation scheme of the non -negative c onjugate parameter and set a restart procedure in our searchdirection.”

Key words

Guangxi/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/College of Mathematics and Physics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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