A low-error calibration function for an electrostatic gas-solid flow meter obtained via machine learning techniques with experimental data

Andrew Kidd, Jianyong Zhang, Ruixue Cheng

Research output: Contribution to journal › Article › peer-review

78 Downloads (Pure)

Fingerprint

Dive into the research topics of 'A low-error calibration function for an electrostatic gas-solid flow meter obtained via machine learning techniques with experimental data'. Together they form a unique fingerprint.

Engineering & Materials Science

Business & Economics

Social Sciences