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Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm

B. Wang ; School of Applied Technology, University of Science and Technology Liaoning, Anshan 114051, China *

* Dopisni autor.

Sažetak

In order to improve the prediction accuracy of the roughing force prediction model, a cuckoo-random forest algorithm is proposed in this paper to quickly solve the set value of rolling force based on the standard random forest algorithm. The experimental results show that the prediction accuracy of the cuckoo-random forest algorithm is higher than that of traditional models, and it can effectively predict the set value of rough rolling force.

Ključne riječi

roughing mill; rolling force; random forest model; Cuckoo algorithm; prediction model

Hrčak ID:

312266

URI

https://hrcak.srce.hr/312266

Datum izdavanja:

1.4.2024.

Posjeta: 609 *