Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering
Abstract As a major burden of blast furnace, sinter mineral with desired quality performance needs to be produced in sinter plants. The tumbler index (TI) is one of the most important indices to characterize the quality of sinter, which depends on the raw materials proportion, operating system param...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-88755-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|