Research on Classification Method of Piano Teaching Resources Based on Multiple Logical Regression

Zhichao Yu
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引用次数: 2

Abstract

In order to solve the problem that the classification of piano teaching resources is not effective at present, a research on the classification method of piano teaching resources based on multiple logistic regression is proposed. Firstly, different characteristic categories in piano teaching resources are collected and extracted. Combined with multiple logistic regression classification algorithms, different characteristic factors in teaching materials are classified into categories and sequences, and finally the reasonable classification of piano teaching resources is realized. Finally, the experiment proves that the classification method of piano teaching resources based on multiple logistic regression is more practical and effective than the traditional classification method.
基于多元逻辑回归的钢琴教学资源分类方法研究
为了解决目前钢琴教学资源分类效果不佳的问题,提出了一种基于多元逻辑回归的钢琴教学资源分类方法研究。首先,对钢琴教学资源的不同特征类别进行收集和提取。结合多元逻辑回归分类算法,对教材中的不同特征因素进行分类和排序,最终实现钢琴教学资源的合理分类。最后,实验证明了基于多元逻辑回归的钢琴教学资源分类方法比传统的分类方法更加实用和有效。
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