Refinery scheduling with varying crude: A deep belief network classification and multimodel approach

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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Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :	Authors Email ORCID Gao, X UNSPECIFIED UNSPECIFIED Shang, C UNSPECIFIED UNSPECIFIED Jiang, Y UNSPECIFIED UNSPECIFIED Huang, D UNSPECIFIED UNSPECIFIED Chen, T UNSPECIFIED UNSPECIFIED
Date :	1 July 2014
Identification Number :	https://doi.org/10.1002/aic.14455
Uncontrolled Keywords :	Science & Technology, Technology, Engineering, Chemical, Engineering, deep belief network, refinery scheduling, multimodel, varying crude, OPTIMIZATION, OPERATIONS, UNCERTAINTY, MODELS
Related URLs :	Author
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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