A Strategic Study on Quality Improvement of Physical Education Teaching Empowered by Digital Intelligence Technology DOI Creative Commons

Lingling Wei

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The development of digital intelligence technology has created a brand new path for the improvement physical education teaching quality. Aiming at deficiencies current quality, study introduces to design strategy quality and establishes evaluation model based on PSO-BPNN algorithm quantify effect empowered by technology. Five courses, including basketball soccer, taken university in 2022-2023 are evaluated as objects assess after empowerment results show that error between actual output expected is within ideal range. And grades five courses reached good above, among which soccer table tennis achieved excellent grades. It indicates can effectively impact application At same time, it shows method significantly improve teaching.

Language: Английский

China Classical Poetry Art Song Market Trend Forecast and Big Data Analysis in Music Industry DOI Open Access
Keke Chen,

Baowen Yang,

Liang Chen

et al.

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract In view of the fact that Chinese classical poetry and art songs are more widely welcomed in people’s entertainment lives, article conducts research on its market development trend. The PSO-Prophet-LSTM combined prediction model is constructed by combining Prophet LSTM neural network optimizing with PSO algorithm. model’s performance was tested this paper it used to predict music industry songs. achieved best results terms comparison adaptation, LOSS, RMSE convergence curves accuracy. next five years, total output value expanded from RMB 465 billion 2024 986 2028. capital preservation rate, profit tax rate value, all keep growing over years. size songs, segment expands overall industry.

Language: Английский

Citations

0

A Strategic Study on Quality Improvement of Physical Education Teaching Empowered by Digital Intelligence Technology DOI Creative Commons

Lingling Wei

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The development of digital intelligence technology has created a brand new path for the improvement physical education teaching quality. Aiming at deficiencies current quality, study introduces to design strategy quality and establishes evaluation model based on PSO-BPNN algorithm quantify effect empowered by technology. Five courses, including basketball soccer, taken university in 2022-2023 are evaluated as objects assess after empowerment results show that error between actual output expected is within ideal range. And grades five courses reached good above, among which soccer table tennis achieved excellent grades. It indicates can effectively impact application At same time, it shows method significantly improve teaching.

Language: Английский

Citations

0