Reconciliation of outliers in CO2-alkanolamine-H2O datasets by robust neural network winsorization
It is normal to find at least a few measured values in CO2-alkanolamine-H2O datasets that deviate greatly from the majority of published data, as the data come from different sources. These values, termed as data outliers, are the major source of conflict in modeling, simulation and process developm...
| Main Authors: | Suleman, H., Maulud, A.S., Man, Z. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19378 / |
| Published: |
Springer London
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957558524&doi=10.1007%2fs00521-016-2213-z&partnerID=40&md5=631b3b8d59309e2f35b88e872f419f2c http://eprints.utp.edu.my/19378/ |
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