Beihang University Reports Findings in Support Vector Machines (An analog circui t fault diagnosis method using improved sparrow search algorithm and support vec tor machine)

Robotics & Machine Learning Daily News2024，Issue(MAY.23) ：44-45.

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Beihang University Reports Findings in Support Vector Machines (An analog circui t fault diagnosis method using improved sparrow search algorithm and support vec tor machine)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Support Vector Machines is the su bject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “In analog circuits, component to lerances and circuit nonlinearity pose obstacles to fault diagnosis. To solve th is problem, a soft fault diagnosis method based on Sparrow Search Algorithm (SSA ) and Support Vector Machine (SVM) is used.”

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Search Algorithms/Suppo rt Vector Machines/Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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