文献类型：期刊文献

英文题名：Artificial intelligence robots based on machine learning and visual algorithms for interactive experience assistance in music classrooms

作者：Fang, Jian[1]

第一作者：方健

通讯作者：Fang, J[1]

机构：[1]Beijing Union Univ, Teachers Coll, Beijing 100011, Peoples R China

第一机构：北京联合大学师范学院

通讯机构：[1]corresponding author), Beijing Union Univ, Teachers Coll, Beijing 100011, Peoples R China.|[1141711]北京联合大学师范学院;[11417]北京联合大学;

年份：2025

卷号：52

外文期刊名：ENTERTAINMENT COMPUTING

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001325052700001)】；

语种：英文

外文关键词：Machine learning; Visual algorithms; Artificial intelligence robots; Music classroom; Interactive experience

摘要：This article aims to study the application of artificial intelligence robots based on machine learning and visual algorithms in music classroom interactive experience assistance. In artificial intelligence robots, mobile adaptive networks can be used to optimize the perception and decision-making abilities of robots. By continuously learning and adapting to environmental changes, robots can better understand and respond to the interactive needs of music classrooms, providing more accurate and targeted auxiliary services. By learning and analyzing rich training data, robots can possess higher-level cognitive and comprehension abilities. In terms of music recommendation, the K-nearest neighbor algorithm is used to recommend music works that are suitable for students. By analyzing students' music preferences and learning needs, robots provide personalized music recommendations to students based on this information, helping them better participate in and enjoy music classes. By applying machine learning and visual algorithms to music classroom interaction experiments, artificial intelligence robots based on machine learning and visual algorithms have the potential to assist in music classroom interaction experience, and teaching optimization strategies for music classrooms have been proposed.