Abstract
In order to improve the efficiency of national forest park ecotourism management, this paper analyzes the national forest park ecotourism management based on 5G network and machine learning and analyzes the prediction algorithm based on time series data used in the process of building the flow prediction network model. Moreover, this paper combines the actual data operation requirements to improve the algorithm, builds the system architecture according to the actual requirements of the national forest park ecotourism management, and performs data processing with the support of machine learning and 5G network. In addition, after constructing the system, this paper verifies the performance of the system and processes the test results through statistical methods. From the experimental analysis, it can be seen that the system constructed in this paper basically meets the needs of ecotourism management in the national forest park.
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29 December 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s00521-022-08195-0
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Yue, Y. RETRACTED ARTICLE: 5G network-oriented machine learning and national forest park ecotourism management. Neural Comput & Applic 34, 9353–9368 (2022). https://doi.org/10.1007/s00521-021-06313-y
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DOI: https://doi.org/10.1007/s00521-021-06313-y