Deep Fusion Representation Methods for Industrial Multi-source Heterogeneous Data
摘要
In this chapter provides an in-depth study of deep fusion modeling methods for heterogeneous data from multiple sources in the industry. Modern industrial systems involve a variety of data sources, including sensor data, production process data, and supply chain data. This chapter includes industrial heterogeneous correlated data fusion modeling methods and industrial multi-source high-dimensional data fusion modeling methods. It discusses integrating these data to achieve more comprehensive and accurate industrial intelligence modeling.