Automated network traffic prediction framework based on meta-feature mapping and empirical black-winged kite optimization
Correspondences|更新时间:2026-01-21
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Automated network traffic prediction framework based on meta-feature mapping and empirical black-winged kite optimization
Journal on CommunicationsVol. 46, Issue 12, Pages: 326-346(2025)
作者机构:
1.浙江工商大学统计与数据科学学院,浙江 杭州 310018
2.浙江工商大学信息与电子工程学院,浙江 杭州 310018
作者简介:
基金信息:
The National Natural Science Foundation of China(W2421086;61871468);Zhejiang Provincial Key Research and Development Program(2026C02A1244);Tongxiang General Artificial Intelligence Research Institute Project(TAGI2-B-2024-0014);The Key Laboratory of New Network Standards and Technologies of Zhejiang Province(2013E10012);The Second Batch of Postgraduate Teaching Reform Projects in Zhejiang Province during the “14th Five-Year Plan” Period(3100JYN4118002G-714);The National Innovation and Entrepreneurship Training Program(1120XJ2525246/2025;1010XJ2524078/2024);Zhejiang Provincial College Students’ Sci-Tech Innovation Activity Plan(2024R408A047)
JIANG Xian,CHEN Siyuan,GOU Jingwen,et al.Automated network traffic prediction framework based on meta-feature mapping and empirical black-winged kite optimization[J].Journal on Communications,2025,46(12):326-346.