Robotics & Machine Learning Daily News2024,Issue(Nov.27) :66-67.

Studies from National University of Defense Technology Add New Findings in the A rea of Machine Learning (Research On Ip Node Port Openness Prediction Method Bas ed On Pso-catboost)

国防科技大学的研究为机器学习领域增添了新的发现(基于pso-catboost的Ip节点端口开放度预测方法研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :66-67.

Studies from National University of Defense Technology Add New Findings in the A rea of Machine Learning (Research On Ip Node Port Openness Prediction Method Bas ed On Pso-catboost)

国防科技大学的研究为机器学习领域增添了新的发现(基于pso-catboost的Ip节点端口开放度预测方法研究)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习的新报告。根据NewsRx记者从中国人民代表大会合肥发回的新闻报道,研究称:“网络测量技术的发展极大地提高了网络扫描的速度,但是,网络测量技术的发展,使得网络扫描的速度大大提高它还对扫描网络的稳定性构成风险。如何减少探测流量并提高流量探测的有效性已成为一个新的研究课题。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Hefei, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thedevelopment of n etwork measurement technologies has greatly increased the speed of network scans , butit also poses risks for the stability of the scanned networks. How to redu ce probing traffic and enhancethe effectiveness of probing has become a new res earch issue.”

Key words

Hefei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/National University of Defens e Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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