Energy saving diagnosis model of petrochemical plant based on intelligent curvelet support vector machine

نویسندگان

چکیده

The energy and resources saving has become a major task of petrochemical enterprises, it is necessary to construct the diagnostic system for understanding real-time operation information plant provide theoretical basis taking measures. diagnosis process based on twin Curvelet support vector machine optimized by hybrid glowworm swarm algorithm designed. kernel function constructed transform establish theory model machine. In order improve prediction precision machine, optimization simulated annealing simulation optimize parameters Finally, used as research object carry out analysis, results showed that proposed can effectively effectiveness effect plant.

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ژورنال

عنوان ژورنال: Soft Computing

سال: 2021

ISSN: ['1433-7479', '1432-7643']

DOI: https://doi.org/10.1007/s00500-021-06151-z