摘要
阐述基于人工智能技术的物联网大数据挖掘算法设计,通过对特征数据提取、检测与标准化处理,以及信息熵值计算,提升物联网大数据挖掘的质量与效率,并通过仿真实验验证其有效性。
This paper expounds the design of IoT big data mining algorithms based on artificial intelligence technology.By extracting,detecting,and standardizing feature data,as well as calculating information entropy,it improves the quality and efficiency of IoT big data mining.It verifies its effectiveness through simulation experiments.
作者
马延龙
MA Yanlong(Qidi Chengfu(Hangzhou)Environmental Technology Co.,Ltd.,Zhejiang 311203,China)
出处
《集成电路应用》
2024年第6期160-161,共2页
Application of IC
关键词
智能技术
大数据挖掘
神经网络
intelligent technology
big data mining
neural networks