研究论文
The improved mountain gazelle optimizer for spatiotemporal support vector regression: a novel method for railway subgrade settlement prediction integrating multi-source information
Guangwu Chen, Shilin Zhao, Peng Li, Shilin Wang, Xin Zhou, V. V. Potekhin
Lanzhou Jiaotong University Lanzhou University of Technology Lanzhou University Peter the Great St. Petersburg Polytechnic University
来源Applied Intelligence
年份2025
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工程Geotechnical Engineering and Analysis
Landslides and related hazards · Climate change and permafrost
参考文献 33
An Optimized Grey GM(2,1) Model and Forecasting of Highway Subgrade Settlement
被引 24Ning Xu, Yaoguo Dang · Mathematical Problems in Engineering · 2015
Predicting settlement along railway due to excavation using empirical method and neural networks
被引 20Yiqun Tang, Siqi Xiao, Yangjie Zhan · SOILS AND FOUNDATIONS · 2019
Support vector regression
被引 736Fan Zhang, Lauren J. O’Donnell · Machine Learning · 2019
此处列出前 3 条
引用本文 4
A systematic review of the mountain gazelle optimizer: methodological variants and application domains
被引 2Moh Nur Sholeh, E. Elizar · Evolutionary Intelligence · 2026
Grading evaluation method for uneven subgrade settlement of high-speed railway based on a temporal multi-task network
被引 1Jiming Tan, Weizheng Liu, Zhuochen Wang · Transportation Geotechnics · 2025
A Wireless Sensor Network Coverage Optimization Algorithm for Power Grid Applications
被引 0Shijun Luo, Lu Tang, Jinan Lai · 2025
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