欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
矿建工程投资额大、周期长、不确定性大的特点,决定了投资估算快速性和准确性对投资决策至关重要。在分析投资构成的基础上,建立基于10个估算子系统的投资估算模型,以14条井底平巷为例,选取断面大小、支护方式、锚杆消耗等技术、经济指标作为工程特征,对其进行量化和归一化处理,用Matlab提供的神经网络函数构建三层、7个输入指标、一个输出指标的BPNN模型来预测巷道工程投资估算值。结果表明,只要工程特征选取合适及BPNN模型的参数设置准确,神经网络方法能较好较快地达到目标,预测精度在±10%以内,能够满足估算预测快速性和准确性的要求。
英文摘要：
Mine construction has the characteristics of huge investment, long cycle, large uncertainty, which determine the speed and accuracy of the investment estimate for investment decisions is essential~ Established investment estimation model based on 10 estimates subsystems, for example bottom drift, selecting the section size, supporting way, rock bolt consumption and other technical and economic indicators as engineering features, making quantification and normalization, provided neural network function with Matlab to build BPNN （Back Propagation Neural Network）model for predicting the roadway project investment, the model included three layers, seven input indicators, one output indicators; The results show that, as long as the selecting of project characteristics and BPNN model parameter settings were appropriate and accurate, the neural network method can quickly achieve the target, the prediction accuracy could reach ±10% or less, meeting requirements of estimates predict rapidity and accuracy.
同期刊论文项目
同项目期刊论文
Application on intelligent system for optimization design of blasting in mine tunnel excavation of c
High-strength steel tubular confined concrete supports support technology for large section soft roc
Method for pinpointing the contacts of oil, gas and water by common contour binning stacking and its
Experimental study on the effect of initial compression stress field on blast-induced crack behavior
Experimental study of dynamic fracture effect of blasting crack in slotted cartridge decoupling char
SEM experiment of rock crack cross section morphology after explosion fracturing with slotted cartri
期刊信息
位置：