Optimization Study of Youth Ice and Snow Sports Training Data - Analysis of TensorFlow Platform Based on One Belt and One Road Region

[1] Li, P., & Liu, W. (2022). Research on the participation of Chinese sports cultural elite in ice and snow sports. Frontiers in Public Health, 9, Search in Google Scholar

[2] Maeno, N. (2016). Ice and snow for winter sports. In The engineering approach to winter sports (pp. 1-15). New York, NY: Springer New York. Search in Google Scholar

[3] Ye, H. (2022). Research on the Strategy of Ice and Snow Sports from the Perspective of Scientific and Technological Development. Frontiers in Sport Research, 4(1). Search in Google Scholar

[4] Han, X., & Jia, L. (2023). Safety and prevention of sports injuries in popular ice and snow sports. Revista Brasileira de Medicina do Esporte, 29, e2022_0747. Search in Google Scholar

[5] Zhang, T., & Wang, W. (2022). Consumer group identification algorithm for ice and snow sports. Computational intelligence and neuroscience, 2022(1), 2174910. Search in Google Scholar

[6] Zhu, Y., Li, Q., Ying, Z., & Tian, S. (2023). Model of deep information environmental factors on the development of ice and snow sports. Ecological Chemistry and Engineering S, 30(1), 133-139. Search in Google Scholar

[7] Liu, G. (2021). Development and Construction of Ice and Snow Sports Courses in Colleges and Universities. Learning & Education, 10(4), 42-44. Search in Google Scholar

[8] Hu, S. (2021). The Teaching Strategy of Ice and Snow Sports in Colleges and Universities from the Perspective of Sports Core Literacy. Frontiers in Sport Research, 3(1). Search in Google Scholar

[9] Li, X., Song, L., Wu, H., & Wang, Y. (2021). Optimization of ice and snow sports industry chain structure based on sensor network communication and artificial intelligence. Mobile Information Systems, 2021(1), 7267006. Search in Google Scholar

[10] Jiaming, Z. (2020). Discussion on the Development of National Fitness and Ice and Snow Sports. International Journal of New Developments in Education, 2(2). Search in Google Scholar

[11] Bi, H., Gu, Z., & Liu, D. (2021, April). Advantages of multimedia network teaching in ice and snow sports education in higher vocational colleges. In Journal of Physics: Conference Series (Vol. 1852, No. 4, p. 042062). IOP Publishing. Search in Google Scholar

[12] Hu, P., & Zhang, P. (2024). Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management. Expert Systems, 41(5), e13212. Search in Google Scholar

[13] Eski, T. (2019). Examining winter sports awareness level of university students receiving sports education. Kıbrıslı Eğitim Bilimleri Dergisi, 14(4), 630-640. Search in Google Scholar

[14] Yulong, Z., Lan, L., Yimo, Z., & Bing, L. (2021, January). The Application Research of Data Analysis of Student’s Physical Health Testing on Optional Courses of Ice and Snow Sports. In 2021 International Conference on Information Technology and Contemporary Sports (TCS) (pp. 555-558). IEEE. Search in Google Scholar

[15] Fan, Z., Min, L., He, W., Yang, Y., Ma, W., & Yao, J. (2024). Efficacy of multicomponent interventions on injury risk among ice and snow sports participants—a systematic review and meta-analysis. BMC Sports Science, Medicine and Rehabilitation, 16(1), 135. Search in Google Scholar

[16] Zhao, Y. P., Hou, Z. F., Wang, J. H., & Yuan, S. S. (2022). Research on the Development Characteristics of Ice and Snow Industry from the Perspective of Winter Olympic Heritage. Front. Sport Res, 4, 50-55. Search in Google Scholar

[17] Chen, W., Zhou, P., & Bae, K. (2020). Research on development strategy of China ice-snow sports tourism industry based on SWOT-AHP model-case study on zhangjiakou. International Journal of Contents, 16(2), 92-101. Search in Google Scholar

[18] Li, J. (2023). Research on Teaching Reform of Ice and Snow Sports Courses in Universities Based on OBE Concept. Curriculum and Teaching Methodology, 6(13), 101-105. Search in Google Scholar

[19] Liu, P., & Yue, N. (2020). Relationship between active personality and participation in ice and snow sports. Revista Argentina de Clínica Psicológica, 29(1), 614. Search in Google Scholar

[20] Wenshuai, J. I. A. (2018). Analysis on Development Path of Ice and Snow Sports Industry in China from Perspective of Dissipative Structure Theory. Journal of Jianghan University (Natural Science Edition), 46(4), 368. Search in Google Scholar

[21] Wu, D., & Li, Y. (2024). Safety assurance mechanism of athletes in ice and snow sports based on edge computing. International Journal of Business Intelligence and Data Mining, 25(1), 81-90. Search in Google Scholar

[22] Li, X. (2022, June). Research On Cultivation Mode Of” Ice And Snow” Applied Talents In Colleges And Universities. In Of Papers Presented at 2022 3rd Asia Sport Science Conference (ASSC). Search in Google Scholar

[23] Zhang, W., Li, H., Wang, D., Xu, G., Xu, C., Li, J., ... & Tang, P. (2023). The global research status and trends in ice and snow sports injuries from 1995 to 2022: A bibliometric and visualized analysis. International journal of environmental research and public health, 20(4), 2880. Search in Google Scholar

[24] Junchang, K. A. N., Zhe, Z. H. A. I., & Hongyu, Z. H. A. N. G. (2022). Strategic Planning and Promotion Path of the Development of Ice and Snow Sport in China. Journal of Shanghai University of Sport, 46(1), 52-59. Search in Google Scholar

[25] Tan Li & Ran Ningpei. (2023). Applying Artificial Intelligence Technology to Analyze the Athletes’ Training Under Sports Training Monitoring System. International Journal of Humanoid Robotics(06). Search in Google Scholar

[26] J. Ding,B. Horowitz & Z. Lukić. (2024). TensorFlow Hydrodynamics Analysis for Ly-[formula omitted] Simulations. Astronomy and Computing100858-100858. Search in Google Scholar

[27] Xuejiao Ma,Yu Jin & Qingli Dong. (2017). A generalized dynamic fuzzy neural network based on singular spectrum analysis optimized by brain storm optimization for short-term wind speed forecasting. Applied Soft Computing296-312. Search in Google Scholar

[28] ElNagar Ahmad M,ElBardini Mohammad & Khater A Aziz. (2023). Recurrent general type-2 fuzzy neural networks for nonlinear dynamic systems identification. ISA transactions170-182. Search in Google Scholar