Optimization of BP neural network combined with PID model based on PSO algorithm auto wetting control of sintering#br#

NIE Huiyuan, LI Shaoming

Metallurgical Industry Automation ›› 2022, Vol. 46 ›› Issue (1) : 44-53.

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Metallurgical Industry Automation ›› 2022, Vol. 46 ›› Issue (1) : 44-53. DOI: 10. 3969 / j. issn. 1000-7059. 2022. 01. 006
Process control theory and technique

Optimization of BP neural network combined with PID model based on PSO algorithm auto wetting control of sintering#br#

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2022, 46(1): 44-53 https://doi.org/10. 3969 / j. issn. 1000-7059. 2022. 01. 006

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Bimonthly, Started in 1976
CN 11-2067/TF
ISSN 1000-7059
Competent Authority: China lron & Steel Association
Sponsor: Automation Research and Design Institute of Metallurgical Industry Co., Ltd.
CISRI Boyuan Publishing Co.,Ltd.
Editor and Publisher: CISRI Boyuan Publishing Co.,Ltd.
Postal Code: 2-321
Foreign Distributed Code: BM5548
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