首页|Research from Shandong Jiaotong University Reveals New Findings on Support Vecto r Machines (Vehicle Lane Changing Game Model Based on Improved SVM Algorithm)

Research from Shandong Jiaotong University Reveals New Findings on Support Vecto r Machines (Vehicle Lane Changing Game Model Based on Improved SVM Algorithm)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in . According to news reporting originating from Jinan, People’sRepublic of China, by NewsRx correspondents, research stated, “In order to improve the autonomouslane-chang ing performance of unmanned vehicles, this paper aims to solve the problem of in accuratedecision classification in traditional support vector machine (SVM) alg orithms applied to the lane-changingdecision-making stage of intelligent drivin g vehicles.”

Shandong Jiaotong UniversityJinanPeo ple’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine Learni ngSupport Vector MachinesVector Machines

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.26)