Intelligent Construction Optimization Control of Construction Project Schedule Based on the Fuzzy Logic Neural Network Algorithm

At present, the field of construction engineering is limited by various situations, such as complex construction environments and many uncertain factors. Therefore, on the basis of the engineering network diagram, this paper proposes a construction project schedule management method based on the fuz...

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Published in:	Mathematical problems in engineering Vol. 2022; pp. 1 - 11
Main Authors:	Yu, Xiaobing, Zuo, Hengzhong
Format:	Journal Article
Language:	English
Published:	New York Hindawi 04.10.2022 John Wiley & Sons, Inc
Subjects:	Algorithms Artificial neural networks Computer simulation Construction Construction engineering Cooperation Critical path Fuzzy logic Integer programming Linear programming Mathematical analysis Mathematical programming Methods Neural networks Optimization Project management Psychologists Schedules Software Success
ISSN:	1024-123X, 1563-5147
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Abstract	At present, the field of construction engineering is limited by various situations, such as complex construction environments and many uncertain factors. Therefore, on the basis of the engineering network diagram, this paper proposes a construction project schedule management method based on the fuzzy logic neural network algorithm. By building a neural network, a large amount of historical data is input, and computers are allowed to calculate the key routes, thus predicting the construction period, and a construction project in a city is taken as an example for simulation experiments. The traditional construction period management scheme expects a construction period of 55 days. The planned construction period optimized by the project management technology integrating fuzzy logic neural network algorithm is 55 days, which is 2 days less than the traditional construction project schedule management technology and will not cause construction period delay. The simulation results show that this algorithm is more accurate and more efficient in calculating the key lines when dealing with large-scale projects, which can help the construction unit to quickly find the optimal strategy and effectively reduce the construction delay and capital loss caused by uncertainty factors.
AbstractList	At present, the field of construction engineering is limited by various situations, such as complex construction environments and many uncertain factors. Therefore, on the basis of the engineering network diagram, this paper proposes a construction project schedule management method based on the fuzzy logic neural network algorithm. By building a neural network, a large amount of historical data is input, and computers are allowed to calculate the key routes, thus predicting the construction period, and a construction project in a city is taken as an example for simulation experiments. The traditional construction period management scheme expects a construction period of 55 days. The planned construction period optimized by the project management technology integrating fuzzy logic neural network algorithm is 55 days, which is 2 days less than the traditional construction project schedule management technology and will not cause construction period delay. The simulation results show that this algorithm is more accurate and more efficient in calculating the key lines when dealing with large-scale projects, which can help the construction unit to quickly find the optimal strategy and effectively reduce the construction delay and capital loss caused by uncertainty factors.
Author	Yu, Xiaobing Zuo, Hengzhong
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Cites_doi	10.1109/CIS.2016.0099 10.1016/j.eswa.2016.07.011 10.1016/j.eswa.2010.12.165 10.1016/j.ijproman.2011.09.002 10.1201/b18205 10.1088/1742-6596/2131/2/022114 10.1108/ci-07-2018-0059 10.1088/1742-6596/1726/1/012010 10.1016/j.autcon.2012.11.040 10.1109/21.199466
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Copyright	Copyright © 2022 Xiaobing Yu and Hengzhong Zuo. Copyright © 2022 Xiaobing Yu and Hengzhong Zuo. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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SubjectTerms	Algorithms Artificial neural networks Computer simulation Construction Construction engineering Cooperation Critical path Fuzzy logic Integer programming Linear programming Mathematical analysis Mathematical programming Methods Neural networks Optimization Project management Psychologists Schedules Software Success
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Title	Intelligent Construction Optimization Control of Construction Project Schedule Based on the Fuzzy Logic Neural Network Algorithm
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