Research and Application of Intelligent Detection Technology Based on Deep Learning Algorithm

Xinwei Zhou, Yong Zhu
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Abstract

With the development of computer and information technology, the advancement of sensor technology, the level of intelligent detection technology continues to improve. Manual detection is gradually eliminated, and deep learning algorithms are gradually combined with intelligent detection technology, which has injected new development momentum into the development of detection technology. This article aims to explore the research and application of intelligent detection technology based on deep learning algorithms. This article takes intelligent detection technology as the research object, combined with deep learning algorithms, first analyzes the current existing intelligent detection technology, and then designs an intelligent detection system based on deep learning algorithms, and introduces the various functional modules of the system. This article has verified the effectiveness of the system through system testing. Experimental data shows that the detection accuracy of the system in the training sample is 90.36%, and the detection accuracy of the system in the test sample is 94.4%. It can be seen that the intelligent detection system based on the deep learning algorithm has high detection accuracy.
基于深度学习算法的智能检测技术研究与应用
随着计算机和信息技术的发展,传感器技术的进步,智能检测技术的水平不断提高。人工检测逐渐被淘汰,深度学习算法逐渐与智能检测技术相结合,为检测技术的发展注入了新的发展动力。本文旨在探索基于深度学习算法的智能检测技术的研究与应用。本文以智能检测技术为研究对象,结合深度学习算法,首先分析了目前现有的智能检测技术,然后设计了一个基于深度学习算法的智能检测系统,并介绍了系统的各个功能模块。本文通过系统测试验证了系统的有效性。实验数据表明,该系统在训练样本中的检测准确率为90.36%,在测试样本中的检测准确率为94.4%。可见,基于深度学习算法的智能检测系统具有较高的检测精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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