A Deep Neural Network-Driven Method for Outlier Identification of Regional Economic Statistical Data
Regional economic statistical data serves as the fundamental basis for local governments to formulate industrial policies, fiscal plans and livelihood guarantee schemes. Taking deep neural networks as the core tool, this paper constructs an automatic outlier identification framework adaptable to multi-indicator panel d...