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International Journal of Environmental Studies Volume 74, 2017 - Issue 2
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Original Articles

ANN-GA approach for predictive modelling and optimization of NOx emissions in a cement precalcining kiln

Yun ZhangKey Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian, ChinaCorrespondence[email protected]
,
Wenqiang WangKey Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian, China
,
Shuai ShaoKey Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian, China
,
Shasha DuanKey Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian, China
&
Haochen HouKey Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian, China
Pages 253-261 | Published online: 17 Feb 2017

Citations (9)

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Read on this site (2)

Yasin Tunckaya. (2020) Performance analysis of novel air pollution forecasting system design in a Turkish cement plant via neural and neuro-fuzzy soft computing. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-16.
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Said Naili & Amine Morsli. (2020) Impact of industrial atmospheric emissions on ambient air quality in the region of Arzew (north-western Algeria). International Journal of Environmental Studies 77:1, pages 1-13.
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Articles from other publishers (7)

Youngjin Seol, Seunghyun Lee, Jiho Lee, Chang-Wan Kim, Hyun Su Bak, Youngchul Byun & Janghyeok Yoon. (2024) An Interpretable Time Series Forecasting Model for Predicting NOx Emission Concentration in Ferroalloy Electric Arc Furnace Plants. Mathematics 12:6, pages 878.
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Huixin Ma, Tian Peng, Chu Zhang, Chunlei Ji, Yiman Li & Muhammad Shahzad Nazir. (2023) Developing an evolutionary deep learning framework with random forest feature selection and improved flow direction algorithm for NOx concentration prediction. Engineering Applications of Artificial Intelligence 123, pages 106367.
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Anthony I. Okoji, Ambrose N. Anozie, James A. Omoleye, Abiola E. Taiwo & Damilola E. Babatunde. (2023) Evaluation of adaptive neuro-fuzzy inference system-genetic algorithm in the prediction and optimization of NOx emission in cement precalcining kiln. Environmental Science and Pollution Research 30:19, pages 54835-54845.
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Abolghasem Daeichian, Rana Shahramfar & Elham Heidari. (2022) Modeling of lime production process using artificial neural network. Chemical Product and Process Modeling 17:6, pages 655-667.
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Li Fanjun, Li Ying, Wang Xiaohong, Liu Zhao & Wang Wenting. (2021) Prediction Method for NOx Emissions in Cement Arotary Kiln Based on EMD and ESNs. Prediction Method for NOx Emissions in Cement Arotary Kiln Based on EMD and ESNs.
JunHyung Seo, YoungJin Kim, KyeHong Cho, JinSang Cho, KyungHo Han & DoYoung Yoon. (2020) Trend of Nitrogen Oxide Reduction Technologies in Cement Industry. Journal of the Korean Institute of Resources Recycling 29:6, pages 114-124.
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Ying Li & Fanjun Li. (2018) NOx Prediction Method Based on Deep Extreme Learning Machine. NOx Prediction Method Based on Deep Extreme Learning Machine.

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