Multi-objective optimization of clean utilization for zinc leaching residues by rotary kiln using neural network coupled modeling-Reference-Cited by-同舟云学术

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Multi-objective optimization of clean utilization for zinc leaching residues by rotary kiln using neural network coupled modeling

Published:2024-09 Issue: Volume:470 Page:143287
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Zhang Chen-Mu,Zan Zhi,Shi Yao,Li Hui-Quan^ORCID,Liu Lang-Ming,Liu Wei-Ping,Lin Wen-Jun,Shi Jing-Jing,Hu Ying-yan,Guan Xue,Chen Kuang-Yi,Liu Xiao,Zhao Xiao-Chao

Funder

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference27 articles.

1. Optimal design of supply chain network with carbon dioxide injection for enhanced shale gas recover;Ahn;Appl. Energy,2020

2. Cooperation of bio-inspired and evolutionary algorithms for neural network design;Akhmedova;Journal of Siberian Federal University-Mathematics and Physics,2018

3. Depletion of the non-renewable natural resource reserves in copper, zinc, lead and aluminium production;Boryczko;J. Clean. Prod.,2014

4. Modeling for the calcination process of industry rotary kiln using ANFIS coupled with a novel hybrid clustering algorithm;Cai;Math. Probl Eng.,2017

5. Genetic algorithm application to minimize pig iron cost;Cao;ISIJ Int.,2013

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