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Design of virtual education experiment platform based on artificial intelligence

机译:基于人工智能的虚拟教育实验平台设计

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摘要

In order to solve the problem that the digital image processing of traditional virtual education experiment platform is time-consuming and the evaluation result of the platform does not match the actual result, the design method of virtual education experiment platform based on artificial intelligence is proposed. This paper introduces the general framework of virtual education experiment platform based on artificial intelligence, including remote registration, intelligent push of learning courses, establishment of teaching centre website by using artificial intelligence technology, etc. Based on the framework and heap code, the virtual education experiment platform is built by server and client calling service objects. The experimental results show that the accuracy of the proposed method is between 80% and 95%, the time-consuming is less than 0.02 mu s, and the fitting range is between 80% and 100%. Compared with the methods based on 3D MAX, the proposed method has obvious advantages.
机译:为了解决传统虚拟教育实验平台的数字图像处理是耗时的,平台的评估结果与实际结果不匹配,提出了基于人工智能的虚拟教育实验平台的设计方法。本文介绍了基于人工智能的虚拟教育实验平台的一般框架,包括远程注册,智能推动学习课程,通过使用人工智能技术等建立教学中心网站等。基于框架和堆代码,虚拟教育实验平台由服务器和客户端调用服务对象构建。实验结果表明,所提出的方法的准确性在80%至95%之间,耗时小于0.02μm,拟合范围在80%和100%之间。与基于3D最大的方法相比,该方法具有明显的优势。

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