Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking-Reference-Cited by-同舟云学术

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Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Published:2018-09 Issue:9 Volume:29 Page:4007-4021
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhou Ping^ORCID,Guo Dongwei,Wang Hong,Chai Tianyou

Funder

National Natural Science Foundation of China

Research Funds for the Central Universities

Project on Scientific Research for the EDLN

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/8440865/08053910.pdf?arnumber=8053910

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