为解决这一问题，研究了灰色组合模型在发动机研制费用估算中的应用。
This paper suggests Gray combined Model should be used in estimating the Engine Development Cost so as to solve the problem mentioned above.
通过对昆明市2003-2010年生活垃圾产生量进行了灰色组合模型预测，结果表明该模型的预测精度达到一级。
The result showed that the Gray Combining Predication Model's accuracy can reach first class in forecasting of Kunming urban waste output in 2003-2010.
提出了设备运行状态综合预测模型，神经网络和灰色理论的组合应用，提高了状态预测的准确性。
A synthetic condition prediction model is presented, using neural network and grey theory together make it possible to predict accurately.
第六部分采用一元线性回归、多项式回归、灰色系统G（1，1）模型和组合预测模型对山东省现代物流业未来需求状况进行了中期预测。
The sixth part forecasts the future logistics demand of Shandong Province on the basis of one linear regression, polynomial regression, gray system G(1,1) model and combination forecast model.
对比发现，利用组合灰色神经网络模型预测的位移值较单独的灰色模型预测的位移值具有更高的精度。
It is more accurate of the forecasting results by the composite gray neural network model than that by the only gray models by comparison.
以实际算例为基础，应用基本灰色预测模型和传统改进模型以及组合灰色预测模型分别对电力负荷进行了预测，并进行了分析比较。
Based on an example, the basic grey model, other improved models and combination grey model are used to forecast power load and results of all models are analyzed and compared.
再将最佳回归模型与最佳灰色模型有机地结合起来建立中国火灾最佳灰色回归组合预测模型。
Finally an optimal combinatorial forecasting model for fire in China has been established through combining the Grey and regression models.
文章在灰色预测的基础上，引入马尔可夫预测，建立起灰色马尔可夫预测组合模型。
It is introduced the Markov theory into the prediction based on the Grey model in this paper, and how to build the Grey-Markov prediction combination model.
我们采用灰色预测方法与平均增长量外推法相结合，建立了一种新型的预测模型——灰色组合预测模型。
We use gray dopesting method and averagely ascending quantity outside pushing method, set up a new dopesting model-gray prefab dopesting model.
通过建立灰色线性回归组合模型，较好地预测了北辰矿井田深部的瓦斯涌出量。
It can get a better precision of gas gushing in deeper coal according to building grey linearity model in Beichen coal Mine.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
研究了灰色系统理论与神经网络组合的灰色神经网络GNNM（1，1）模型的建模思想、网络结构及其优化GNNM（1，1）模型的方法和学习算法；
Study modelling thought, network configuration, majorize GNNM(1,1) mode method and learning algorithm of GNNM(1,1) mode combined grey system theory and neural network.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性，提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
对电量和负荷的预测都提供了回归模型、趋势外推模型、灰色模型和组合模型等。
Establishing combined forecasting model using artificial neural network on the basis of MATLAB toolbox.
因此，本文对灰色模型与其它模型的结合进行了分析和研究，建立了组合预测模型，并对中国能源消费量进行了预测。
Therefore, analysis and research of the grey model with other model's combination are carried, the combination forecasting models are established and the energy consumption of China is forecasted.
对时间序列的一类预测模型进行了研究，把灰色模型与BP神经网络模型组合建模，通过实例分析取得好的效果。
In this paper, by using the gray system theory and the dynamic BP neural network, the combination forecasting model are discussed.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
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