The Application of Classification Methods to the Gross Error Detection Problem-Reference-Cited by-同舟云学术

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The Application of Classification Methods to the Gross Error Detection Problem

Published:2014 Issue:3 Volume:47 Page:11464-11469
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Gerber Egardt F,Auret Lidia,Aldrich Chris

Publisher

Elsevier BV

Subject

General Medicine

Reference12 articles.

1. “The use of connectionist systems to reconcile inconsistent process data”;Aldrich;The Chemical Engineering Journal,1994

2. Classification and Regression Trees;Breiman,1984

3. “Test of Maximum Power for Detection of Gross Errors in Process Constraints”;Crowe;American Institute of Chemical Engineers Journal”,1989

4. Process Plant Performance;Madron,1992

5. “Detection of Gross Errors in Process Data”;Mah;American Institute of Chemical Engineers Journal,1982

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Weighted Ensemble of Regression Methods for Gross Error Identification Problem;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

2. Curve and surface reconstruction based on MTLS algorithm combined with k-means clustering;Measurement;2021-09

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