基于图像识别技术的电力企业扩展应用安装数字档案智能识别

Ling Zeng, Haihong Liang, Linghan Meng, Yuqi Yang, Qian Guo
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引用次数: 0

摘要

现有的智能识别方法存在数字档案特征模糊的问题,导致识别速度慢。设计了一种基于图像识别技术的数字档案智能识别方法。优化在电力业务拓展中的应用和安装,量化信息流,选择信息增益率最大的属性作为决策树的新节点,提取数字文件特征,利用图像识别技术构建供电企业的信令识别层,寻找端口映射表,根据线性求和函数属性制定智能识别模式。
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Intelligent Recognition of Digital Archives of Application and Installation in Power Business Expanding Based On Image Recognition Technology
The existing intelligent recognition methods have the problem of fuzzy characteristics of digital archives, resulting in slow recognition speed. A digital archives intelligent recognition method based on image recognition technology is designed. Optimize the application and installation in power business expanding, quantify the information flow, select the attribute with the maximum information gain rate as the new node of the decision tree, extract the digital file features, construct the signaling recognition layer of power supply enterprises with image recognition technology, find the port mapping table, and formulate the intelligent recognition mode according to the linear summation function attribute.
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