港口吞吐量预测模型数据资源集

基于港航生态多维数据的吞吐量预测模型充分利用山东港口智慧大脑平台数智驱动能力，全面归集、融合山东港口内外部数据，并通过机器学习、深度学习等算法实现对港口整体、分货类、分货种以及港口重点大客户的吞吐量监控、预测、预警。

The throughput prediction model based on multi-dimensional data of the port and shipping ecosystem fully leverages the data-intelligent driving capabilities of the Shandong Port Smart Brain Platform. It comprehensively collects and integrates internal and external data of Shandong Port, and adopts algorithms such as machine learning and deep learning to enable monitoring, prediction and early warning of the port's overall throughput, as well as the throughput of different cargo categories, specific cargo types and key large clients of the port.