基于卷积神经网络的大数据图像智能识别方法研究
Research on Intelligent Recognition Method of Big Data Image Based on Convolutional Neural Network
陈雅1
作者信息
- 1. 广西警察学院,广西南宁 530828;武汉大学,湖北武汉 430072
- 折叠
摘要
利用卷积神经网络进行图像数据的识别与处理,能有效提高大数据图像识别的智能性,可以广泛应用于文学艺术、商务业务、工程建设等多个领域.实验表明,基于卷积神经网络的大数据图像智能识别方法误识率较低,具有明显的应用优势.
Abstract
Using convolutional neural network to identify and process image data can effectively improve the intelligence of big data image recognition,which can be widely used in literature and art,business,engineering construction and other fields.Experiments show that the convolutional neural network based intelligent recognition method of big data image has a low error rate,and has obvious application advantages.
关键词
卷积神经网络/大数据图像/智能识别Key words
convolutional neural network/big data image/intelligent recognition引用本文复制引用
出版年
2024
NETL
NSTL
万方数据