Abstract With the acceleration of globalization, English, as the universal language for international communication, has become increasingly important in education. This article studies the application analysis of particle swarm optimization algorithm (PSO) based on English teaching quality improvement. The aim is to use the PSO algorithm to optimize the English teaching process and improve teaching quality. This article first introduces the... With the acceleration of globalization, English, as the universal language for international communication, has become increasingly important in education. This article studies the application analysis of particle swarm optimization algorithm (PSO) based on English teaching quality improvement. The aim is to use the PSO algorithm to optimize the English teaching process and improve teaching quality. This article first introduces the basic principle of the PSO algorithm and English teaching quality evaluation indicators and then elaborates on how to apply the PSO algorithm to improve English teaching quality, including teaching plans, classroom teaching, extracurricular tutoring, and teaching evaluation. Finally, the effectiveness and feasibility of the English teaching quality improvement method based on the PSO algorithm were verified through experiments. Read More Read Less

Abstract This article aims to conduct a sampling survey of basketball sports through data indicator mining methods and provide a reference for the selection and training of basketball players through training-weighted analysis. Firstly, this article collects and analyzes data on basketball players’ physical fitness, technical skills, tactical awareness, and other aspects to identify important data indicators. Next, this article uses a... This article aims to conduct a sampling survey of basketball sports through data indicator mining methods and provide a reference for the selection and training of basketball players through training-weighted analysis. Firstly, this article collects and analyzes data on basketball players’ physical fitness, technical skills, tactical awareness, and other aspects to identify important data indicators. Next, this article uses a sampling survey method to analyse many basketball player data statistically and understand their performance in various indicators. On this basis, this article adopts the technique of training weighted analysis to determine the weights of different indicators, providing a more scientific basis for the selection and training of athletes. Read More Read Less

Abstract This article studies the analysis of the value chain of sports industry development using the fuzzy GMDH network algorithm model. The sports industry is an important component of modern service industry, and its development is of great significance for promoting economic growth, improving people’s health level, and promoting social progress. Value chain analysis is an important means to understand the... This article studies the analysis of the value chain of sports industry development using the fuzzy GMDH network algorithm model. The sports industry is an important component of modern service industry, and its development is of great significance for promoting economic growth, improving people’s health level, and promoting social progress. Value chain analysis is an important means to understand the development status of industries and optimize resource allocation. The fuzzy GMDH network algorithm model is an algorithm model based on data mining and machine learning technology, which can extract valuable information by processing and analyzing a large amount of data. Read More Read Less