Refinery scheduling with varying crude: A deep belief network classification and multimodel approach
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Gao, X, Shang, C, Jiang, Y, Huang, D and Chen, T (2014) Refinery scheduling with varying crude: A deep belief network classification and multimodel approach AICHE JOURNAL, 60 (7). pp. 2525-2532.
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xygao2014_aiche_schedule_dbn.pdf - Accepted version Manuscript Available under License : See the attached licence file. Download (1MB) | Preview |
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Official URL: http://dx.doi.org/10.1002/aic.14455
| Item Type: | Article | ||||||||||||||||||
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| Divisions : | Faculty of Engineering and Physical Sciences > Chemical and Process Engineering | ||||||||||||||||||
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| Date : | 1 July 2014 | ||||||||||||||||||
| DOI : | 10.1002/aic.14455 | ||||||||||||||||||
| Uncontrolled Keywords : | Science & Technology, Technology, Engineering, Chemical, Engineering, deep belief network, refinery scheduling, multimodel, varying crude, OPTIMIZATION, OPERATIONS, UNCERTAINTY, MODELS | ||||||||||||||||||
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| Depositing User : | Symplectic Elements | ||||||||||||||||||
| Date Deposited : | 06 Aug 2014 13:24 | ||||||||||||||||||
| Last Modified : | 14 Feb 2015 14:35 | ||||||||||||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/805796 |
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