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Articles:2020,Vol:25,Issue(3):186-192 |
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Citation: |
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ZHANG Fan, WANG Lei, ZHOU Zhou, ZHAO Jiaxin, ZHANG Sensen, HU Shixiang, MA Wengang. Application of Artificial Neural Network in Engineering[J]. International Journal of Plant Engineering and Management, 2020, 25(3): 186-192 |
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| Application of Artificial Neural Network in Engineering |
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| ZHANG Fan, WANG Lei, ZHOU Zhou, ZHAO Jiaxin, ZHANG Sensen, HU Shixiang, MA Wengang |
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| Nanjing Institute of Technology, Nanjing 211167, China |
| Abstract: |
| This paper mainly studies the dynamic direction of engineering valuation based on the artificial neural network methods, and seeks for a set of rapid, convenient and practical valuation models, for building construction projects. |
| Key words:
artificial neural network
dynamic engineering valuation
building
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| Received: 2020-08-03
Revised:
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| DOI: 10.13434/j.cnki.1007-4546.2020.0305 |
| Funds: This paper was supported by "Challenge Cup" Support Project of Science and Technology Innovation Fund for College Students of Nanjing University of Engineering (No. TZ20200014) |
| Corresponding author:
Email： |
| Author description:
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References: |
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[1] Zhang W X, Optimization of BP neural network stock prediction model based on PSO[D]. Harbin:Harbin Institute of Technology, 2010:23-30(in Chinese)
[2] Dong X H, Liu C, Song S H. Application of artificial neural network based on mean linear particle swarm optimization in run off forecasting[J]. Hydrology, 2013,33(5):32-38(in Chinese)
[3] Liu J. Novel project evaluation method based on BP,RBF and GAAA-REP neural network[D]. Fujian Xiamen:Huaqiao University, 2013(in Chinese) |
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