大数据时代计算机智能信息处理技术的研究  

Research on Computer Intelligent Information Processing Technology in the Era of Big Data

作　　者：丁焕雯 常盼 DING Huanwen;CHANG Pan(Zhengzhou Professional Technical Institute of Electronic&Information,Zhengzhou 451450,China)

机构地区：[1]郑州电子信息职业技术学院,郑州451450

出　　处：《移动信息》2025年第2期100-102,共3页Mobile Information

摘　　要：在图像识别、自然语言处理等领域,深度学习的应用日益广泛,推动着智能化系统的革新与进步.文中剖析了深度学习的核心机制与应用场景,重点分析了卷积神经网络(CNN)和残差网络(ResNet)在图像分类中的卓越表现.最后,构建了一种基于深度学习的图像识别模型,并通过详尽的数据分析展示了概模型的性能.此外,还探讨了计算机智能信息处理技术在各大领域中的实际应用,展现了深度学习在信息处理领域的应用潜力.In the fields of image recognition and natural language processing,the application of deep learning is increasingly widespread,promoting the innovation and progress of intelligent systems.This paper analyzes the core mechanism and application scenarios of deep learning,focusing on the excellent performance of convolutional neural networks(CNN)and residual networks(ResNet)in image classification.Finally,an image recognition model based on deep learning is constructed,and the performance of the approximate model is demonstrated through detailed data analytics.In addition,the practical application of computer intelligent information processing technology in various fields is also discussed,showing the application potential of deep learning in the field of information processing.

关 键 词：深度学习 计算机智能 图像识别 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]