WANG Fengwu, ZHANG Xiaobo, YAN Jichi, JI Zhe. Prediction of Container Throughput of Shanghai Port with LSTM[J]. Navigation of China, 2022, 45(2): 109-114. DOI: 10.3969/j.issn.1000-4653.2022.02.018
Citation:
WANG Fengwu, ZHANG Xiaobo, YAN Jichi, JI Zhe. Prediction of Container Throughput of Shanghai Port with LSTM[J]. Navigation of China, 2022, 45(2): 109-114. DOI: 10.3969/j.issn.1000-4653.2022.02.018
WANG Fengwu, ZHANG Xiaobo, YAN Jichi, JI Zhe. Prediction of Container Throughput of Shanghai Port with LSTM[J]. Navigation of China, 2022, 45(2): 109-114. DOI: 10.3969/j.issn.1000-4653.2022.02.018
Citation:
WANG Fengwu, ZHANG Xiaobo, YAN Jichi, JI Zhe. Prediction of Container Throughput of Shanghai Port with LSTM[J]. Navigation of China, 2022, 45(2): 109-114. DOI: 10.3969/j.issn.1000-4653.2022.02.018
Prediction of Container Throughput of Shanghai Port with LSTM
Prediction of container throughput of a port is challenging because of its complexity and multiple season-dependent characteristics.The LSTM is used to do the prediction of the container throughput of Shanghai Port and the result is compared to the prediction given by the ARIMA model.
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