Robotics & Machine Learning Daily News2024,Issue(Nov.20) :37-38.

Guangdong University of Science and Technology Researcher Reports Research in Su pport Vector Machines (A multi-source data fusion model for traffic flow predict ion in smart cities)

广东科技大学研究员报告支持向量机(智能城市交通流量预测的多源数据融合模型)的研究

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :37-38.

Guangdong University of Science and Technology Researcher Reports Research in Su pport Vector Machines (A multi-source data fusion model for traffic flow predict ion in smart cities)

广东科技大学研究员报告支持向量机(智能城市交通流量预测的多源数据融合模型)的研究

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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》是一篇新的报道的主题.根据新闻报道来自中华人民共和国广东,由NewsRx记者报道,研究称,"问题的出现,如城市交通和运输的增加,交通拥堵,以及"道路资源短缺促使该市优先考虑建设智能交通"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on is the subject of a ne w report. According to news reportingoriginating from Guangdong, People’s Repub lic of China, by NewsRx correspondents, research stated,“The emergence of probl ems such as increased urban traffic and transportation, traffic congestion, androad resource shortages prompted the city to prioritize the construction of inte lligent transportation.”

Key words

Guangdong University of Science and Tech nology/Guangdong/People’s Republic of China/Asia/Emerging Technologies/Mach ine Learning/Support Vector Machines/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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