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首页> 外文期刊>Network Daily News >Wuhan University of Technology Researchers Further Understanding of Wind Farms (Ship Traffic Flow Prediction in Wind Farms Water Area Based on Spatiotemporal Dependence)
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Wuhan University of Technology Researchers Further Understanding of Wind Farms (Ship Traffic Flow Prediction in Wind Farms Water Area Based on Spatiotemporal Dependence)

机译:武汉科技大学研究人员进一步对风电场(船舶交通流的理解基于预测风电场水区域时空的依赖)

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By a News Reporter-Staff News Editor at Network Daily News – Data detailed on wind farms have been presented. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “To analyze the changing characteristics of ship traffic flow in wind farms water area, and to improve the accuracy of ship traffic flow prediction, a Gated Recurrent Unit (GRU) of a Recurrent Neural Network (RNN) was established to analyze multiple traffic flow sections in complex waters based on their traffic flow structure.”
机译:由一个新闻记者在网络新闻编辑每日新闻——数据详细的风电场被提出。武汉、中华人民共和国、NewsRx记者,研究说,”分析船舶交通流量的变化特征风力发电场水域和改善船舶交通流预测的准确性,封闭的复发性单元(格勒乌)的复发性神经分析多个网络(RNN)成立基于交通流部分在复杂水域他们的交通流结构。”

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