摘要
基于人工神经网络的发展,提出一种BP网络并串联模型对施工企业项目质量管理进行智能评价。通过建立的神经网络并串联模型的测试相对误差和实际应用的预测结果.验证其在质量管理评价问题中的有效性,测试结果中相对误差最高不超过0.5%,实际案例中的预测结果和实际结果一致,表明BP网络并串联模型用于分析和解决施工质量管理评价问题可行。
Based on the development of artificial neural network, a kind of parallel-serial model of BP network is proposed to evaluate the project quality management of construction enterprises. The relative error and prediction results in real cases are used to verify its effectiveness in construction quality management evaluation. The highest relative error is less than 0.5% and the actual forecast results are consistent with actual results. The experimental results show that parallel-serial model of neural network can be used to analyze and solve the question of construction quality management evaluation.
作者
汪学清
许哲东
杨已军
石瑞明
周坤鹏
WANG Xue-qing;XU Zhe-dong;YANG Yi-jun;SHI Rui-ming;ZHOU Kun-peng(School of Mechanics & Civil Engineering, China University of Mining & Technology, 100083, Beijing, China)
出处
《建筑技术》
2019年第3期338-341,共4页
Architecture Technology
关键词
神经网络并串联模型
质量管理
评价
parallel-serial model of neural network
quality management
evaluation
