首页|基于人工智能的远程测试系统优化研究

基于人工智能的远程测试系统优化研究

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本文基于人工智能技术,对远程测试系统进行优化研究,提高测试效率和准确性。通过引入机器学习算法和自然语言处理技术,实现了对试题的智能生成和自动评估。研究结果表明,优化后的系统在性能和用户体验方面都有显著提升。
Research on Optimization of Remote Testing System based on Artificial Intelligence
Based on artificial intelligence technology,this paper carries out optimization research on remote testing system to improve testing efficiency and accuracy.By introducing machine learning algorithms and natural language processing technology,intelligent generation and automatic evaluation of test questions are realized.The results of the study show that the optimized system has significantly improved in terms of performance and user experience.

artificial intelligenceremote testing systemmachine learningnatural language processing

李芳

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湖北三江航天红林探控有限公司,湖北 孝感 432000

人工智能 远程测试系统 机器学习 自然语言处理

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(16)