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Combustion Science and Technology Volume 194, 2022 - Issue 7
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Research Article

On the Performance Assessment of ANN and Spotted Hyena Optimized ANN to Predict the Spontaneous Combustion Liability of Coal

Abiodun Ismail Lawala Department of Energy Resources Engineering, Inha University Yong-Hyun Dong, Nam Ku, Korea;b Department of Mining Engineering, Federal University of Technology, Akure, Nigeria
,
Moshood Onifadec Informetrics Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam;d Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, VietnamCorrespondence[email protected]
,
Jibril Abdulsalame School of Chemical and Metallurgical Engineering, Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, South Africa
,
Adeyemi Emman Aladejaref Oulu Mining School, University of Oulu, Oulu, Finland
,
Abisola Risiwat Gbadamosig School of Mining, Metallurgy and Chemical Engineering, University of Johannesburg, Auckland Park, South Africa
&
Khadija Omar Saidh Mining and Mineral Processing Engineering Department, Taita Taveta University, Voi, Kenya
Pages 1408-1432 | Received 16 Jun 2020, Accepted 23 Aug 2020, Published online: 04 Sep 2020

Citations (12)

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Read on this site (6)

Huiyong Niu, Yikang Liu, Kui Wu, Jiaping Wu, Shilin Li & Haiyan Wang. (2023) Study on Pore Structure Change Characteristics of Water-Immersed and Air-Dried Coal Based on SEM-BET. Combustion Science and Technology 195:16, pages 3994-4016.
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Cong Li, Rongkun Pan, Chenhui Wang, Hailin Jia & Jian Wang. (2022) Influence of Air Leakage on the Risk of Spontaneous Combustion in Close Coal Seam Groups. Combustion Science and Technology 0:0, pages 1-17.
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Moshood Onifade. (2022) Countermeasures against coal spontaneous combustion: a review. International Journal of Coal Preparation and Utilization 42:10, pages 2953-2975.
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Moshood Onifade, Bekir Genc, Khadija Omar Said & Abisola Risiwat Gbadamosi. (2022) On the spontaneous combustion liability of South African coal: a report. International Journal of Coal Preparation and Utilization 42:9, pages 2703-2721.
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Hao Dong, Yuntao Liang, Zhenglong He, Xiangming Hu, Yurui Deng, Wei Wang, Hui Tang, Anqi Yu, Xuwei Wang & Han Li. (2022) Study on Properties of Novel Enteromorpha-Based Antioxidation Compound Inhibitors for Spontaneous Combustion of Coal. Combustion Science and Technology 0:0, pages 1-21.
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Liu Zhongyu, Guo Qing & Ren Wanxing. Research on the Effect of Wind Direction and Speed on the Distribution of Coal Temperature Field. Combustion Science and Technology 0:0, pages 1-14.
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Articles from other publishers (6)

Babatunde Adebayo, Ebenezer Oyedele Ajaka, Thomas Busuyi Afeni, Blessing Olamide Taiwo, Ismail Adeniyi Okewale, Abiodun Ismail Lawal, Bidemi Olaoluwa Ogunyemi, Waliu Olalekan Apena, Victor Abioye Akinbinu & John Olurotimi Amigun. (2024) Enhancing downstream operation through run-of-mine crusher selection model: an application of edge detection software and soft computing algorithms. Arabian Journal of Geosciences 17:4.
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Haixia Li, Wenxin Wang, Yumeng Wang, Chen Li, Yinglong Wang, Zhaoyou Zhu, Peizhe Cui, Xin Li & Yanshun Li. (2023) Dynamic real-time energy saving control of pressure-swing distillation based on artificial neural networks. Chemical Engineering Science 282, pages 119271.
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Yun Qi, Kailong Xue, Wei Wang, Xinchao Cui & Ran Liang. (2023) Prediction Model of Borehole Spontaneous Combustion Based on Machine Learning and Its Application. Fire 6:9, pages 357.
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Lidong Zhang, Zeyang Song, Dejian Wu, Zhenmin Luo, Shanshan Zhao, Yaohan Wang & Jun Deng. (2022) Prediction of coal self-ignition tendency using machine learning. Fuel 325, pages 124832.
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A. I. Lawal, S. I. Olajuyi, S. Kwon, A. E. Aladejare & T. M. Edo. (2021) Prediction of blast-induced ground vibration using GPR and blast-design parameters optimization based on novel grey-wolf optimization algorithm. Acta Geophysica 69:4, pages 1313-1324.
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Lidong Zhang, Zeyang Song, Dejian Wu, Zhenmin Luo, Shanshan Zhao, Yaohan Wang & Jun Deng. (2022) Prediction for Self-Ignition Tendency of Coal Using Machine Learning. SSRN Electronic Journal.
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