Cost Forecast

美 [kɔːst ˈfɔːrkæst]英 [kɒst ˈfɔːkɑːst]
  • 网络成本预测
Cost ForecastCost Forecast
  1. Cost forecast model study on oil and gas well operation

    油气钻井作业成本预测模型研究

  2. The Application of Markov Model in Construction Cost Forecast

    马尔科夫模型在施工项目成本预测中的应用

  3. The methods include cost forecast , process control and post control .

    认为医院成本管理的关键是成本控制,其管理方法包括成本的前馈预测、过程控制和事后控制。

  4. Input Output Analysis Method with Excel Software for Cost Forecast

    在Excel软件中利用投入产出法预测企业的投入成本

  5. The coal production cost forecast is an extremely complex question .

    煤炭生产成本预测是一个非常复杂的问题。

  6. A Study of Product Objective Cost Forecast

    产品目标成本预测方法的研究

  7. The Cost Forecast of Power Transmission Line Project

    送电线路工程的成本预测

  8. The computer simulation for construction cost forecast

    工程造价预测的计算机模拟

  9. The discussion on raw coal cost forecast model

    原煤成本预测模型的探讨

  10. Cost forecast model for power engineering based on feature extraction and small-sample learning

    特征提取和小样本学习的电力工程造价预测模型

  11. The profit and loss modified in the smoothing method of cost forecast

    成本预测磨光法的盈亏修正

  12. A Study of Rapid Cost Forecast for Configurable Automotive Products

    变配置汽车产品成本快速预报技术研究

  13. Artificial nerve network applied to cost forecast of filling piling

    人工神经网络在钻孔灌注桩造价预测中的应用

  14. Cost forecast based on Genetic Programming

    基于遗传规划的费用预测

  15. Application of ANFIS network in cost forecast of warship maintenance

    ANFIS网络在舰船维修费用预测中的应用

  16. Exploration of cost forecast method in the mode of charging by bill of quantities

    工程量清单计价模式下成本预测方法探讨

  17. The methods commonly used for cost forecast are the qualitative forecast and quantitative forecast .

    成本费用预测常用的方法为定性预测和定量预测。

  18. Mathematic model of analyse of transportation cost forecast of trucks and profit loss

    汽车运输成本预测与盈亏分析数学模型

  19. Cost forecast of engineering projects before giving the quoted price in the bid

    工程项目投标报价前的成本预测

  20. Oil Cylinder Material Capability Analysis and Its Cost Forecast of Hydraulic Single Prop Used in Mines

    矿用单体液压支柱油缸材料性能分析及成本测算

  21. A Practising of Cost Forecast for the project of JINGU Building

    金谷大厦工程成本预测的实践

  22. It researched on the approach of cost forecast in the development of military equipments based on wavelet neural network .

    主要进行了基于小波神经网络的装备研制费预测技术的研究。

  23. Application of Mono-regression in Cost Forecast of Project Item

    一元回归法在工程项目成本预测中的应用

  24. This paper studied the grey theoretical application in the project cost forecast to find the more reasonable and faster forecast method .

    该论文探索研究灰色理论在建筑工程造价预测中的应用,从而达到以寻求更加合理、快速的预测方法的目的。

  25. Moreover , the author also joined the project establish and pre-analysis and proposed the cost forecast from the technical point of view .

    此外,作者也参与了本课题的立项和论证等前期工作,从技术角度,对产品的设计及实现成本提出了预期。

  26. Cost forecast is an important link for strengthening cost management and increasing economic benefit , foundation for working out the cost plan and making the cost decision .

    成本预测是加强成本管理和提高经济效益的重要环节,是编制成本计划和进行成本决策的基础。

  27. Work starts from attaching importance to the day - to - day management and data accumulation to create the conditions for improving the accuracy of cost forecast .

    从重视日常管理和积累技术资料着手,为提高成本预测的准确性创造条件。

  28. Taking the advantage of fuzzy inference capacity and learning function of adaptive network-based fuzzy inference system ( ANFIS ), this paper applies this method in the warship maintenance cost forecast ;

    利用自适应模糊推理系统(ANFIS)的模糊推理能力和学习功能相结合的优点,运用于舰船维修费用预测中。

  29. The paper analyzed the main influence factors , established the raw coal cost forecast model , and carries on the forecast analysis using some coal mine cost data , and obtained the good forecast result .

    分析了影响原煤成本的主要因素,建立原煤成本预测模型,并应用某煤矿成本数据进行预测分析,取得了较好的预测结果。

  30. The calculation results show that GP model has higher accuracy in cost forecast for aircraft maintenance support compared with methods of linear regression and partial least-squares regression and is preferable in application .

    实例表明,与线性回归方法和偏最小二乘回归方法相比,遗传规划在飞机维修保障费用预测中精度更高,具有较好的应用前景和推广价值。