相关实验视频

Updated: Jun 6, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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通过与多尺度区域信息的相互加强来提高城市流量预测

Xu Zhang1, Mengxin Cao1, Yongshun Gong2

  • 1Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, China.

Neural networks : the official journal of the International Neural Network Society
|November 23, 2024
PubMed
概括

这项研究引入了城市流量预测的新方法,改善了路线优化和资源配置. 该方法有效地处理时空数据挑战,即使信息有限.

关键词:
多尺度区域信息区域信息相互加强的相互加强.神经网络的神经网络的神经网络空间时间系统.城市流量预测预测

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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