Robotics & Machine Learning Daily News2024,Issue(Jun.14) :49-49.

Central South University Researcher Reveals New Findings on Support Vector Machines (Prediction method of TBM tunnel surrounding rock classification based on LS TM-SVM)

中南大学研究员揭示支持向量机(基于LS TM-svm的TBM隧洞围岩分类预测方法)的新发现

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :49-49.

Central South University Researcher Reveals New Findings on Support Vector Machines (Prediction method of TBM tunnel surrounding rock classification based on LS TM-SVM)

中南大学研究员揭示支持向量机(基于LS TM-svm的TBM隧洞围岩分类预测方法)的新发现

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摘要

Robotics&Machine Learning的新闻记者兼新闻编辑每日新闻-关于支持向量机的详细数据已经呈现。根据《中国人民日报》长沙消息,NewsRx记者的研究表明,“TBM隧道围岩分类是支持决策和确保安全施工的关键指标。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on support vector machin es have been presented. According to news originating from Changsha, People’s Re public of China, by NewsRx correspondents, research stated, “TBM tunnel surround ing rock classification is a key indicator for supporting decision-making and en suring safe construction.”

Key words

Central South University/Changsha/People’s Republic of China/Asia/Machine Learning/Support Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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