| 基于 BAS-SCA-BP 模型的高校建筑工程项目投资估算研究 |
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| 引用本文： | 雍秀珍,黄 山,袁 维.基于 BAS-SCA-BP 模型的高校建筑工程项目投资估算研究[J].工程管理学报,2022,36(5):136-141. |
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| 作者姓名： | 雍秀珍 黄 山 袁 维 |
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| 作者单位： | 兰州交通大学 土木工程学院 |
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| 摘 要： | 针对标准BP 神经网络建筑工程项目投资估算模型收敛速度慢、预测精度低的问题，提出融合改进天牛须和正余弦双重优化算法（BAS-SCA）优化BP 神经网络的建筑工程项目投资估算模型。以某市高校建筑工程项目为研究对象，分析相关文献并结合显著性理论初步选择工程造价影响因子，利用粗糙集属性约简算法筛选出关键因素；基于此，通过构建基于BAS-SCA-BP 的神经网络估算模型实现快速、准确的建筑工程投资估算。研究结果表明:基于BAS-SCA-BP 的估算模型较标准BP 神经网络估算模型的估算精度有了大幅提高，与其他智能算法改进的BP 神经网络估算模型的性能相比较，该模型在稳定性和预测精度方面表现更佳。
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| 关 键 词： | 高校建筑工程 粗糙集理论 BAS-SCA 投资估算 |
Research on Investment Estimation of University Construction ProjectsBased on BAS-SCA-BP Model |
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| YONG Xiu-zhen,HUANG Shan,YUAN Wei.Research on Investment Estimation of University Construction ProjectsBased on BAS-SCA-BP Model[J].Journal of Engineering Management,2022,36(5):136-141. |
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| Authors: | YONG Xiu-zhen HUANG Shan YUAN Wei |
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| Affiliation: | School of Civil Engineering，Lanzhou Jiaotong University |
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| Abstract: | A construction project investment estimation model based on a optimization algorithm combining improved beetleantennas search and sine cosine（BAS-SCA）was proposed to optimize BP neural network. This model can overcome the slowconvergence rate and low prediction accuracy of the standard BP neural network investment estimation model for constructionprojects. The construction project of a university in an anonymous city is taken as a research case. The relevant literature is analyzed,and the impact factors of project cost are preliminarily selected based on the significance theory. Then, the key factors are screenedout by the rough set attribute reduction algorithm. By this, a neural network estimation model based on BAS-SCA-BP is constructedto achieve fast and accurate construction investment estimation. The results show that the estimation accuracy of the BAS-SCA-BPestimation model is greatly improved compared with the standard BP neural network estimation model. Compared with theperformance of the BP neural network estimation improved by other intelligent algorithms，the proposed model is better in stabilityand prediction accuracy. |
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| Keywords: | university construction engineering rough set theory BAS - SCA investment estimation |
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