Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks
After entering the new century, along with the further deepening of global economic and trade cooperation, the industrial division of labor has been newly developed globally, which brings the cooperation among countries in the international logistics chain more and more closely. As the core node lin...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/8052957 |
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| _version_ | 1832553599921553408 |
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| author | Anping Zha Jianjun Tu |
| author_facet | Anping Zha Jianjun Tu |
| author_sort | Anping Zha |
| collection | DOAJ |
| description | After entering the new century, along with the further deepening of global economic and trade cooperation, the industrial division of labor has been newly developed globally, which brings the cooperation among countries in the international logistics chain more and more closely. As the core node linking domestic and foreign water transportation, ports play a very key role in the international logistics chain and have an extremely central position in the national logistics planning. The coordinated development of port economy is an important part of the economic development planning of port cities, and it is also the premise and basis for the comprehensive planning of port logistics infrastructure construction scale, logistics space layout, and port city logistics development direction and function positioning. Therefore, according to the availability of realistic data, this paper establishes a deep neural network prediction model for the collaborative development of ports and uses various port logistics indicators to predict the economic development trend, so as to realize a nonlinear mapping relationship between the level of port economic development and the side of port logistics demand. Meanwhile, the research of this paper will provide theoretical basis and corresponding practical tools for the coordinated development between regional economy and port logistics industry. |
| format | Article |
| id | doaj-art-32624d37af564139b55a388e475dbce9 |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-32624d37af564139b55a388e475dbce92025-02-03T05:53:40ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/8052957Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural NetworksAnping Zha0Jianjun Tu1Maritime CollegeMaritime CollegeAfter entering the new century, along with the further deepening of global economic and trade cooperation, the industrial division of labor has been newly developed globally, which brings the cooperation among countries in the international logistics chain more and more closely. As the core node linking domestic and foreign water transportation, ports play a very key role in the international logistics chain and have an extremely central position in the national logistics planning. The coordinated development of port economy is an important part of the economic development planning of port cities, and it is also the premise and basis for the comprehensive planning of port logistics infrastructure construction scale, logistics space layout, and port city logistics development direction and function positioning. Therefore, according to the availability of realistic data, this paper establishes a deep neural network prediction model for the collaborative development of ports and uses various port logistics indicators to predict the economic development trend, so as to realize a nonlinear mapping relationship between the level of port economic development and the side of port logistics demand. Meanwhile, the research of this paper will provide theoretical basis and corresponding practical tools for the coordinated development between regional economy and port logistics industry.http://dx.doi.org/10.1155/2022/8052957 |
| spellingShingle | Anping Zha Jianjun Tu Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks Journal of Mathematics |
| title | Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks |
| title_full | Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks |
| title_fullStr | Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks |
| title_full_unstemmed | Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks |
| title_short | Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks |
| title_sort | research on the prediction of port economic synergy development trend based on deep neural networks |
| url | http://dx.doi.org/10.1155/2022/8052957 |
| work_keys_str_mv | AT anpingzha researchonthepredictionofporteconomicsynergydevelopmenttrendbasedondeepneuralnetworks AT jianjuntu researchonthepredictionofporteconomicsynergydevelopmenttrendbasedondeepneuralnetworks |