Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill

To test the impact of different mixture ratios on backfilling strength in Fankou lead–zinc mine, various mixture ratio designs have been conducted. Meanwhile, to improve the strength of ultra-fine tailings-based cement paste backfill (CPB), two kinds of fibers were utilized in this study, namely pol...

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Veröffentlicht in:	Engineering with computers Jg. 37; H. 4; S. 3519 - 3540
Hauptverfasser:	Li, Enming, Zhou, Jian, Shi, Xiuzhi, Jahed Armaghani, Danial, Yu, Zhi, Chen, Xin, Huang, Peisheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.10.2021 Springer Nature B.V
Schlagworte:	Algorithms Backfill CAE) and Design Calculus of Variations and Optimal Control; Optimization Cement paste Classical Mechanics Compressive strength Computer Science Computer-Aided Engineering (CAD Control Fiber reinforced materials Fibers Genetic algorithms Heuristic methods Math. Applications in Chemistry Mathematical and Computational Engineering Original Article Particle swarm optimization Polypropylene Prediction models Search methods Support vector machines Systems Theory Fiber-reinforced strength Salp swarm algorithm Compressive strength Support vector machine Hybrid SVM-based technique
ISSN:	0177-0667, 1435-5663
Online-Zugang:	Volltext
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