Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm
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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2024-01-01
|
| Series: | Metalurgija |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/450992 |
| _version_ | 1797367447959896064 |
|---|---|
| author | B. Wang |
| author_facet | B. Wang |
| author_sort | B. Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T17:18:28Z |
| format | Article |
| id | doaj.art-09453ac52d2c47eca1c4359ef5af37be |
| institution | Directory Open Access Journal |
| issn | 0543-5846 1334-2576 |
| language | English |
| last_indexed | 2024-03-08T17:18:28Z |
| publishDate | 2024-01-01 |
| publisher | Croatian Metallurgical Society |
| record_format | Article |
| series | Metalurgija |
| spelling | doaj.art-09453ac52d2c47eca1c4359ef5af37be2024-01-03T09:51:41ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762024-01-01632212214Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithmB. Wang0School of Applied Technology, University of Science and Technology Liaoning, Anshan 114051, ChinaIn 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.https://hrcak.srce.hr/file/450992roughing millrolling forcerandom forest modelCuckoo algorithmprediction model |
| spellingShingle | B. Wang Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm Metalurgija roughing mill rolling force random forest model Cuckoo algorithm prediction model |
| title | Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm |
| title_full | Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm |
| title_fullStr | Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm |
| title_full_unstemmed | Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm |
| title_short | Prediction model of rough rolling force based on CUCKOO-RANDOM FOREST algorithm |
| title_sort | prediction model of rough rolling force based on cuckoo random forest algorithm |
| topic | roughing mill rolling force random forest model Cuckoo algorithm prediction model |
| url | https://hrcak.srce.hr/file/450992 |
| work_keys_str_mv | AT bwang predictionmodelofroughrollingforcebasedoncuckoorandomforestalgorithm |