Study Results from Beihua University in the Area of Machine Learning Reported (A New Hybrid Conjugate Gradient Method Close To the Memoryless Bfgs Quasi-newton Method and Its Application In Image Restoration and Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Oct.22) ：34-34.

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Study Results from Beihua University in the Area of Machine Learning Reported (A New Hybrid Conjugate Gradient Method Close To the Memoryless Bfgs Quasi-newton Method and Its Application In Image Restoration and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news reporting from Jilin, People’s Republic of China, by News Rx journalists, research stated, “A new hybrid conjugate gradient algorithm for solving the unconstrained optimization problem was presented. The algorithm could be considered as a modification of the memoryless Broyden-Fletcher-Goldfarb-Sh anno (BFGS) quasi-Newton method.”

Key words

Jilin/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Beihua University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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