通过对国内外钻井成本研究的分析，寻找影响钻井作业成本的主要因素，可指导钻井作业成本预测模型的建立。
Through analysis on the study of drilling cost both at home and abroad, the main factors influencing the drilling cost have been found to guide to build up the forecast model on the drilling cost.
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。
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.
这个模型对经销商的成本/收益的预测应为 $400- (2.5% * $3) - (8.7% * 400) = $365。
This model from a cost/benefit perspective to the dealership would be $400 - (2.5% * $3) - (8.7% * 400) = $365.
MLM公司在设计阶段为了评估各种可供选择的建筑体系开发了一个热学模型，实际产生的能源成本被密切监视着，并和这个热学模型的预测进行比较。
The resulting energy costs were closely monitored against the projections of a thermal model that MLM had developed at the design stage to enable evaluations of alternate construction systems.
Palladio Bench能够帮助架构师和开发者预测软件的各项指标，例如性能，可靠性以及可维护性，还能根据内置的开发模型计算出开发成本。
Palladio Bench supports architects and developers in deriving quality of software estimations such as performance, reliability, maintainability and development costs from models.
这些成本预测方法是通过分析或者模拟的形式，从Palladio模型(PCM的实例)中计算出标准结果(例如反应时间)。
The approaches, by means of analyse or simulation, calculate metrics (e.g. response time) from Palladio models (instance of the PCM).
而且模型的预测精度与生产的稳定、成本的降低、钢材质量的提高密切相关。
Precision of model is closely correlated with the stabilization of production, the reduction of cost and quality of steel.
目前交通噪声预测使用的FHWA模型在实际应用以人工方式来统计通过的车辆数和车型，人工成本高，统计值容易产生偏差。
Now the FHWA model used in traffic noise prediction get the number and type of vehicles by artificial way, the labor cost is high and the statistical value often not very accuracy.
通过分析发电燃料成本的构成及影响因素，建立成本预测的数学模型，并用计算机程序实现成本预测。
The mathematical model of cost prediction is established by analyzing cost composition and influence factor of generation fuel cost, and cost prediction is realized by computer program.
为了使产品设计师能在设计阶段就较准确地预测产品的制造成本并进行成本优化，为产品市场报价或重新设计及改进提供依据，需要提供一个能快速准确建立产品成本模型的系统。
To make the designers can predict the cost of product in design phase precisely for providing the basis of price in market or designing again, a quick and precise system of modeling is needed.
该文以塔里木油田1999年到2005年的原油单位操作成本数据序列为依据，利用GM(1,1)灰色模型，进行了年度操作成本预测，并得到了较好的结果。
Based on the data sequence of oil unit operation cost from 1999 to 2005 in Talimu oilfield, yearly operation cost prediction is conducted successfully by using GM (1, 1) grey model.
值预测是通过推断执行来提高ILP的有效技术之一，但实现其预测模型的硬件成本和功耗却是制约它的两个主要因素。
Value prediction is one of the effective techniques that increase ILP by speculative execution, but its hardware cost and power consumption are two main limitations.
最后建立了一个BP神经网络模型，对火电企业的动态成本进行有效的预测分析。
In the last part of the article, the author set up a BP artificial neural network model, which can effectively predicts the dynamic cost of power plants.
在此基础上，采用了多元线性回归模型、LMBP模型、MOBP模型、VLBP模型与BRBP模型对油气勘探成本进行预测，并对各模型的预测性能进行了比对。
Based on these, multiple linear regression, LMBP, MOBP, VLBP and BRBP model are used to forecast oil-gas prospecting cost, and each of their forecasting performances is compared.
校准后的模型对项目开发成本的预测将会更加准确，从而切实体现cocomo成本度量工作对于软件项目的指导价值。
The prediction of the development cost of the project of model after regulating will be more accurate reflect cocomo cost measure between work and guidance value software of project conscientiously.
校准后的模型对项目开发成本的预测将会更加准确，从而切实体现cocomo成本度量工作对于软件项目的指导价值。
The prediction of the development cost of the project of model after regulating will be more accurate reflect cocomo cost measure between work and guidance value software of project conscientiously.
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