基于差分进化算法优化支持向量机的人工智能教育系统

Sci. Program. Pub Date : 2022-01-07 DOI:10.1155/2022/5379646
Weilin Long, Yifang Gao
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引用次数: 3

摘要

人工智能教育系统促进了人工智能在教育领域的扎根,加速了人工智能进入智能教育时代。本文围绕人工智能教育系统的发展,提出了一种基于差分进化算法优化支持向量机的人工智能教育系统。首先实现教育需求信息数据的自动化处理,然后构建差分进化算法对支持向量机模型进行优化,利用支持向量机模型执行各种教育任务,实现自动化教育。测试结果表明,模型的分类准确率、分类召回率、分类准确率和f1得分值为4项。提高了绩效,提高了教育工作的效率,为探索人工智能在教育中的应用和实践提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Education System Based on Differential Evolution Algorithm to Optimize SVM
The artificial intelligence education system promotes the rooting of artificial intelligence in the education field and accelerates its entry into the era of intelligent education. This article focuses on the development of the artificial intelligence education system and proposes an artificial intelligence education system based on differential evolution algorithm optimization support vector machine. First, the processing of educational demand information data is automated, then a differential evolution algorithm is built to optimize the support vector machine model, and the model is used to implement various educational tasks to achieve automated education. The test results show that the model classification accuracy, classification recall rate, classification accuracy rate, and F1-score value are 4 items. Performances have been improved to improve the efficiency of education work and provide a reference for exploring the application and practice of artificial intelligence in education.
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