Generative knowledge-based transfer learning for few-shot health condition estimation

HIGHLIGHTS

  • who: Weijie Kang from the Aeronautical Engineering College, Air Force Engineering University, Xi'an, Shaanxi, China have published the research work: Generative knowledge-based transfer learning for few-shot health condition estimation, in the Journal: (JOURNAL)
  • what: In this paper by combining data enhancement knowledge reasoning and transfer learning a generative knowledge-based transfer learning model is proposed to achieve few-shot health condition estimation. In Sect "Generative transfer-belief rule base", the authors propose a generative transfer-belief rule base (GT-BRB) model and describe the implementation process of the GT-BRB. The authors . . .

     

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