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1)  Calculation Break-Even Point
预测保本点
1.
Several Methods of Calculation Break-Even Point are introduced in the paper,with detailed analysis,illustration and inquisition into Contribution Margin Method and coefficient Methed.
本文介绍了预测保本点的几种方法,着重对贡献毛益法、系数法进行详细的分析、说明、探讨,并对它们适用范围进行归纳汇总。
2)  warranty cost estimation
保证成本预测
3)  break-even point
保本点
1.
On the Relationship Between DOL and Break-even Point;
论DOL与保本点的关系
2.
The prediction methods of varied products break-even point are compared and analyzed, relevant conclusion is drawn.
对多品种条件下产品保本点的预测方法进行了比较分析,并得出了相应结论,一般情况下应尽可能采用加权平均贡献毛益率法,这样得出的分析结果才更可靠。
4)  conservative prediction
保守预测
5)  cost forecast
成本预测
1.
A new method of cost forecast is outlined.
利用盈亏修正的原理,对企业生产经营管理中的成本预测方法——磨光法进行了改进,提出了一种新的预测方法——盈亏修正的磨光法,它克服了磨光法存在的在端点插值偏差大的不足,并且使精度从O(h2(k-1)提高到O(h4(k-1))。
2.
A new model of cost forecast is established by using Artificial Neural Net theory,compared with other forecast methods,the model is capable of self-learning and so on.
运用人工神经元网络理论,建立了一种新的成本预测模型,与其它预测方法相比,它具有自学习功能等特点。
6)  cost forecasting
成本预测
1.
It mainly studied the quoted price DSS of BP neural networks about transported lifts,aimed at the limitation of old ways in cost forecasting,it introduced the conception of measure swatch in which the cost forecasting bases on BP neural networks,and it used range estimating methods,so objectivities and reliabilities of transported lifts' quoted price DSS would be heightened.
主要研究了面向运输系统提升设备的产品报价决策支持系统构架,针对以往的成本预测方法中存在的局限性,在基于BP神经网络的成本预测中引入了测查样本的概念,运用了产品成本预测的区间估计方法,提高了运输提升设备报价决策的客观性与可靠性。
2.
Construction cost forecasting is very important for the determination of project quotation.
分析了现行工程投标成本预测及其存在的问题,介绍了利用模糊数学与灰色系统理论对投标时工程成本进行的预测,并指出了分析运用中应注意的问题。
3.
Mineral processing product cost forecasting model built by using Adaptive Neuro-Fuzzy Inference System(ANFIS),and T-S fuzzy model identified by subtractive clustering,least squares and gradient descent algorithm.
提出了基于自适应神经模糊推理系统的选矿产品成本预测模型,用减法聚类,最小二乘法及梯度下降法辨识了T-S模型。
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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