基于数字媒体技术的舞蹈教学体系构建分析

Xu Yang
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引用次数: 1

摘要

在舞蹈学员专项表演预测模型中,以形体质量指标为因变量,专项成绩为因变量。关联分析和聚类分析结果表明,在体型、身体素质和特殊素质方面存在6个敏感性较高的具体项目。采用神经网络建立预测模型,并对该模型进行了可靠性和误差分析。测试结果表明,神经网络构建的模型比回归模型更准确地预测舞蹈表演和身体素质发展水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Construction of Dance Teaching System Based on Digital Media Technology
In the special performance prediction model of dance cadets, the physical form quality index is regarded as the dependent variable and the special achievement is regarded as the dependent variable. The results of association analysis and cluster analysis showthat there are 6 specific items of higher sensitivity in body shape, physical quality and special quality. Neural network is adopted to build prediction model, and reliability and error analysis are carried out for this model. The test results show that the model constructed by the neural network is more accurate than the regression model to predict the dance performance and the development level of the physical quality.
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