价值工程
價值工程
개치공정
VALUE ENGINEERING
2014年
1期
93-95
,共3页
模糊神经网络%渠道衬砌机%施工绩效%预测
模糊神經網絡%渠道襯砌機%施工績效%預測
모호신경망락%거도츤체궤%시공적효%예측
fuzzy neural network%channel lining machine%construction performance%predetermination
通过工程实地调研，确定影响渠道衬砌机施工绩效的16个主要因素；基于模糊神经网络方法建立渠道衬砌机施工绩效预测数学模型；收集实际工程的渠道衬砌机影响因素和施工效率数据，并进行验证分析计算。结果表明，基于模糊神经网络预测渠道衬砌机施工绩效的方法是实用和有效的。
通過工程實地調研，確定影響渠道襯砌機施工績效的16箇主要因素；基于模糊神經網絡方法建立渠道襯砌機施工績效預測數學模型；收集實際工程的渠道襯砌機影響因素和施工效率數據，併進行驗證分析計算。結果錶明，基于模糊神經網絡預測渠道襯砌機施工績效的方法是實用和有效的。
통과공정실지조연，학정영향거도츤체궤시공적효적16개주요인소；기우모호신경망락방법건립거도츤체궤시공적효예측수학모형；수집실제공정적거도츤체궤영향인소화시공효솔수거，병진행험증분석계산。결과표명，기우모호신경망락예측거도츤체궤시공적효적방법시실용화유효적。
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; Influence factor 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 on fuzzy neural network.
