基于模糊神经网络的渠道衬砌机施工绩效预测

Abstract 16 major factors to influence the construction performance of channel lining machine is determined by field investigation Mathematical model of performance prediction for channel lining machine is established based on fuzzy neural network method Influencefactor and construction efficiency data of Channel lining machine for practical engineering is collected and used to compute for verifying.The results show that it is practical and effective for prediction method of construction performance about Channel lining machine based onfuzzy neural network.院模糊神经网络 渠道衬砌机 施工绩效 预测Key words fuzzy neural network channel lining machine construction performance predetermination中图分类号院TV91 文献标识码院A 文章编号院1006-4311（2014）01-0093-030 引言南水北调中线工程沿线主要是渠道工程，渠道衬砌设备施工绩效直接影响南水北调中线工程进度。渠道衬砌设备施工绩效受到多种因素的影响，各种影响因素和设备施工绩效之间呈现复杂的非线性关系。目前，关于渠道衬砌设备施工绩效预测研究成果较少，文献1-3对渠道衬砌设备施工绩效和其影响因素之间的关系，只是做了一些定性讨论，并未做定量研究。找出施工绩效与影响因素之间的定性关系，预测渠道衬砌设备施工绩效，对于南水北调中线工程的进度计划安排 资源配置以及其他有关工程具有一定的指导意义。