Robotics & Machine Learning Daily News2024,Issue(Jun.13) :67-68.

Studies from Liaoning Technical University Further Understanding of Machine Lear ning (Metallogenic Prediction Based On Fractal Theory and Machine Learning In Du obaoshan Area, Heilongjiang Province)

辽宁工业大学对机器学习的进一步认识(基于分形理论和机器学习的黑龙江杜地区成矿预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :67-68.

Studies from Liaoning Technical University Further Understanding of Machine Lear ning (Metallogenic Prediction Based On Fractal Theory and Machine Learning In Du obaoshan Area, Heilongjiang Province)

辽宁工业大学对机器学习的进一步认识(基于分形理论和机器学习的黑龙江杜地区成矿预测)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。据辽宁省新闻报道,NewsRx记者称,“多源地质数据的提取与综合分析是成矿预测的关键步骤,目前的研究主要集中在深部成矿信息的提取与综合。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Liaoning, People's Rep ublic of China, by NewsRx journalists, research stated, “The extraction and inte grated analysis of multi-source geological data are key steps in the prediction of mineralization. Current studies are focusing on the extraction and integratio n of the deep-level mineralization information.”

Key words

Liaoning/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing/Liaoning T echnical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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