Robotics & Machine Learning Daily News2024,Issue(Jun.14) :17-18.

National University of Defense Technology Reports Findings in Machine Learning ( Surface and underwater acoustic target recognition using only two hydrophones ba sed on machine learning)

国防科技大学报告了机器学习的发现(仅使用基于机器学习的两个水听器进行表面和水下声学目标识别)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :17-18.

National University of Defense Technology Reports Findings in Machine Learning ( Surface and underwater acoustic target recognition using only two hydrophones ba sed on machine learning)

国防科技大学报告了机器学习的发现(仅使用基于机器学习的两个水听器进行表面和水下声学目标识别)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据中国人民共和国长沙的新闻报道,NewsRx记者的研究表明:“水面和水下(S/U)声目标识别是被动声纳的一个重要应用,由于水下目标辐射噪声和海洋环境噪声的混合,很难区分它们。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Changsha, People’s Repub lic of China, by NewsRx journalists, research stated, “Surface and underwater (S /U) acoustic targets recognition is an important application of passive sonar. I t is difficult to distinguish them due to the mixture of underwater target radia tion noise and marine environmental noise.”

Key words

Changsha/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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