Based on artificial neural network, thermal parameter feedback analysis model of RCC dam during construction period has been established.
基于人工神经网络的方法，建立了碾压混凝土坝施工期热学参数反馈分析模型。
Meanwhile, the analysis and evaluation of effects and feedback from oil Wells of practical construction, can also optimize and improve the theory mechanism and optimization software.
依据现场施工油井的效果分析评价及反馈信息，又可对双管采油工艺技术的理论机理及优化决策软件进行优化与完善。
On construction site, observation, back analysis and feedback analysis are done, the corresponding effective methods of construction and measures of heat preservation are put forward in time.
现场观测并现场反分析，由反演的结果进行反馈分析，且及时地提出有关有效的施工方法和温控措施的建议。
应用推荐