The Multi?layer hierarchical recursion model for equipment overhaul cost forecasting is successfully established in overhaul cost prediction.
经标准化处理后，在确定时变参数估值的基础上，建立了大修费用多层递阶预测模型，并成功地实现了大修费用预测。
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.
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。
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.
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。
A prediction model of molten steel temperature based on RBF neural network was developed to reduce cost and improve temperature control accuracy for vacuum induction melting.
针对真空感应炉生产过程中温度测量成本较高及精度较差等不足，建立了基于RBF神经网络的真空感应炉终点钢水温度预报模型。
The Multi?layer hierarchical recursion model for equipment overhaul cost forecasting is successfully established in overhaul cost prediction.
在此基础上通过对典型样本的学习，建立装备研制费用预测模型。
A model is built based on support vector machine (SVM) for predicting the military unmanned air vehicle (UAV) development cost prediction.
应用支持向量机建立了军用无人机研制费用预测模型，并采用该模型对某型军用无人机研制费用进行了预测。
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.
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。
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。
In this thesis, the prediction model of fire cost is built mainly based on the nonlinear approximation property of neural networks, which can be used to investigate our country's fire cost.
本文主要基于神经网络的非线性逼近性质建立预测模型，来研究我国火灾损失的预测问题。
On the algorithm of Market rate prediction, this article adopts the new Winters model to predict the power cost, and check it by the data of North China co, and receives better estimation effects.
在营销指标预测算法上，本文采用改进的温特斯模型对售电量进行预测，并用华北电网的相关数据进行了校验，取得了良好的预测效果。
On the algorithm of Market rate prediction, this article adopts the new Winters model to predict the power cost, and check it by the data of North China co, and receives better estimation effects.
在营销指标预测算法上，本文采用改进的温特斯模型对售电量进行预测，并用华北电网的相关数据进行了校验，取得了良好的预测效果。
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