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Title: The role of SARIMA-BP model for development strategy of broadcasting and hosting art under online security network platform

Authors: Yuanzhen Zhao; Zhensen Liang

Addresses: Xiamen Institute of Technology, No. 1251, Sunban South Road, Jimei District, Xiamen City, Fujian Province, 361021, China ' City University of Macau, Avenida Padre Tomás Pereira Taipa, 999078, Macau

Abstract: This paper aims to discuss the strategic research on the professional growth of broadcasting and hosting art based on the seasonal autoregressive integrated moving average model - backpropagation neural network (SARIMA-BP) model. Firstly, the problems of employment pressure, lack of practical experience, and insufficient educational resources in the current broadcasting and hosting art profession are studied. The professional growth strategy of broadcasting and hosting art supported by the online security network platform is proposed. Secondly, through the analysis of SARIMA-BP model, a prediction method based on SARIMA-BP model is established to predict the growth trend of the profession. The values are small, indicating that the SARIMA-BP model has high prediction accuracy for the future development trend of broadcasting and hosting art.

Keywords: seasonal autoregressive integrated moving average model - backpropagation; SARIMA-BP model; broadcasting and hosting art profession; online secure web platform; development strategy; employment rate; ER.

DOI: 10.1504/IJART.2026.154751

International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.65 - 81

Received: 18 Feb 2026
Accepted: 03 Apr 2026
Published online: 13 Jul 2026 *