面向小样本数据的生成对抗网络增强型海铁联运货运量预测方法研究
Research on the Enhanced Freight Volume Forecasting Method for Sea-Rail Intermodal Transportation Based on Generative Adversarial Networks Facing Small Sample Data论坛
Symposium
综合立体交通运输规划墙报互动报告会
时间
Time
2026-06-04 11:20
地点
Room
二层墙报互动区1
报告人
Reporter
王宇鸿浩
WANG Yuhonghao
工作单位
Company/Institute
湖北文理学院-智慧交通研究院
Hubei University of Arts and Science - Smart Transportation Research Institute
关键词
Keywords
综合运输；吞吐量预测；深度学习；数据升频；深卷积生成对抗网络；DO-CNN预测模型
integrated transportation;throughput prediction;deep learning;data up conversion;deep convolutional generative adversarial network;DO-CNN predictive modeling