基于深度学习的物联网高属性维度数据特征提取与融合方法分析

Analysis of Feature Extraction and Fusion Methods for High Attribute Dimensional Data of IoT Based on Deep Learning

阐述一种高属性维度数据特征提取与融合方法,通过深度神经网络对物联网数据进行学习和表示,从而实现对高属性维度数据的有效特征提取,以特征融合的方式,整合不同属性维度的数据特征。

This paper describes a feature extraction and fusion method for high-dimensional data with high attributes. By learning and representing IoT data through deep neural networks, effective feature extraction is achieved for high-dimensional data with high attributes. Through feature fusion, data features from different attribute dimensions are integrated.