Novel Virtual Sample Generation Approach Using Cubic Spline Interpolation Based Autoencoder for Industrial Soft Sensing Under the Condition of Limited Samples

  • Peng Fei Wang
  • , Yuan Xu
  • , Qun Xiong Zhu
  • , Yan Lin He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Fingerprint

Dive into the research topics of 'Novel Virtual Sample Generation Approach Using Cubic Spline Interpolation Based Autoencoder for Industrial Soft Sensing Under the Condition of Limited Samples'. Together they form a unique fingerprint.

Engineering