Analysis the Compressive Strength of Flue Gas Desulfurization Gypsum Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Analysis the Compressive Strength of Flue Gas Desulfurization Gypsum Using Artificial Neural Network

Published:2020-01-01 Issue:1 Volume:20 Page:485-490
ISSN:1533-4880
Container-title:Journal of Nanoscience and Nanotechnology
language:en
Short-container-title:j nanosci nanotechnol

Author:

Jang Hong-Seok¹,Shuli Xing²,So Seung-Young¹

Affiliation:

1. Department of Architectural Engineering, Research Center of Industrial Technology, Chonbuk National University, Jeonju, Jellabukdo, 54896, Republic of Korea

2. School of Electronics & Information Engineering, Chonbuk National University, Jeonju, Jellabukdo, 54896, Republic of Korea

Publisher

American Scientific Publishers

Subject

Condensed Matter Physics,General Materials Science,Biomedical Engineering,General Chemistry,Bioengineering

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The development of a genetic method to optimize the flue gas desulfurization process;Artificial Intelligence;2021-06-30

2. Improving the Results of the Earned Value Management Technique Using Artificial Neural Networks in Construction Projects;Symmetry;2020-10-21

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