Researchers from Ohio State University Provide Details of New Studies and Findin gs in the Area of Machine Learning (Applying Machine-learning Methods To Laser A cceleration of Protons: Lessons Learned From Synthetic Data)

Robotics & Machine Learning Daily News2024，Issue(Dec.12) ：93-94.

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Researchers from Ohio State University Provide Details of New Studies and Findin gs in the Area of Machine Learning (Applying Machine-learning Methods To Laser A cceleration of Protons: Lessons Learned From Synthetic Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Columbus, Oh io, by NewsRx journalists, research stated, “In this study, we considerthree di fferent machine-learning methods-a three-hidden-layer neural network, support ve ctor regression,and Gaussian process regression-and compare how well they can l earn from a synthetic data set for protonacceleration in the Target Normal Shea th Acceleration regime. The synthetic data set was generated froma previously p ublished theoretical model by Fuchs et al. 2005 that we modified.”

Key words

Columbus/Ohio/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Support Vect or Regression/Ohio State University

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出版年

2024

Robotics & Machine Learning Daily News

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