GSA-KAN: A Hybrid Model for Short-Term Traffic Forecasting

Short-term traffic flow forecasting is an essential part of intelligent transportation systems. However, it is challenging to model traffic flow accurately due to its rapid changes over time. The Kolmogorov–Arnold Network (KAN) has shown parameter efficiency with lower memory and computational overh...

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מידע ביבליוגרפי

Principais autores:	Zhizhe Lin, Dawei Wang, Chuxin Cao, Hai Xie, Teng Zhou, Chunjie Cao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-03-01
סדרה:	Mathematics
נושאים:	traffic flow theory intelligent transportation Kolmogorov–Arnold networks gravitational search algorithm
גישה מקוונת:	https://www.mdpi.com/2227-7390/13/7/1158
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!