Robotics & Machine Learning Daily News2024,Issue(MAY.10) :31-31.

Research Results from Southeast University Update Understanding of Machine Learn ing (Exploring the Pedestrian Route Choice Behaviors by Machine Learning Models)

Robotics & Machine Learning Daily News2024,Issue(MAY.10) :31-31.

Research Results from Southeast University Update Understanding of Machine Learn ing (Exploring the Pedestrian Route Choice Behaviors by Machine Learning Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on ar tificial intelligence. According to news reporting out of Nanjing, People’s Repu blic of China, by NewsRx editors, research stated, “To investigate pedestrian ro ute choice mechanisms from a perspective distinct from that employed in discrete choice models (DCMs), this study utilizes machine learning models and employs S Hapley Additive exPlanations (SHAP) for model interpretation.”

Key words

Southeast University/Nanjing/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

ISSN:
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