Prediction of matte grade in the oxygen-rich top blown smelting based on WD-SSA-SVM algorithm-Reference-Cited by-同舟云学术

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Prediction of matte grade in the oxygen-rich top blown smelting based on WD-SSA-SVM algorithm

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Li Xincai¹,Yang Chunxi¹,Zhang Xiufeng¹,Li Gengen¹

Affiliation:

1. Kunming University of Science and Technology,Faculty of Mechanical and Electrical Engineering,Kunming,China,650504

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165684/10165785/10167386.pdf?arnumber=10167386

Reference15 articles.

1. GA-SVM based wind turbine power prediction;geng;Electronic Test,2019

2. Numerical simulation of ISA smelting process with top spin blowing;yin;Journal of Materials and Metallurgy,2017

3. Canonical Correlation Analysis: An Overview with Application to Learning Methods

4. Short - term fan power prediction based on sparrow search optimization support vector machine;wang;Journal of Computational Intelligence and Applications,2022

5. Prediction of Copper Flash Smelting Process Parameters Based on DLSSVM;xie;China Technology and Science,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A data-driven soft-sensing model of matte grade in oxygen-rich side blow bath smelting process;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

2. A Multi-Antenna Spectrum Sensing Method Based on CEEMDAN Decomposition Combined with Wavelet Packet Analysis;Electronics;2023-09-09

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