<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, a talent training model based on big data analysis is designed for the background of the construction of the Hainan Free Trade Port. A learning behavior analysis method is designed using the K-Means clustering algorithm and particle swarm optimization algorithm, which can accurately mine valuable information from a large amount of user learning behavior data and provide a reference for the exploration of the Russian talent training model. The accuracy rate in the experimental validation can reach 91.99%, which is outstanding and can provide important support for establishing a systematic talent training model in the context of the Hainan Free Trade Port.</p>
</abstract>

In this paper, a talent training model based on big data analysis is designed for the background of the construction of the Hainan Free Trade Port. A learning behavior analysis method is designed using the K-Means clustering algorithm and particle swarm optimization algorithm, which can accurately mine valuable information from a large amount of user learning behavior data and provide a reference for the exploration of the Russian talent training model. The accuracy rate in the experimental validation can reach 91.99%, which is outstanding and can provide important support for establishing a systematic talent training model in the context of the Hainan Free Trade Port.

Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, a talent training model based on big data analysis is designed for the background of the construction of the Hainan Free Trade Port. A learning...

Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis

Online veröffentlicht: 17. Okt. 2023

Seitenbereich: -

Eingereicht: 17. Jan. 2023

Akzeptiert: 27. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00693

Schlüsselwörter
Talent training model, Hainan Free Trade Port, K-Means clustering, Particle swarm optimization, Learning behavior

© 2023 Yanrui Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis

Online veröffentlicht: 17. Okt. 2023

Seitenbereich: -

Eingereicht: 17. Jan. 2023

Akzeptiert: 27. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00693

SchlüsselwörterTalent training model, Hainan Free Trade Port, K-Means clustering, Particle swarm optimization, Learning behavior

© 2023 Yanrui Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Talent training model, Hainan Free Trade Port, K-Means clustering, Particle swarm optimization, Learning behavior