• Traditional combined forecasting model exists deficiency in weighted averaging.

    传统的组合预测模型存在加权平均的缺陷。

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  • Establishing combined forecasting model using artificial neural network on the basis of MATLAB toolbox.

    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。

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  • Describing the type of fuzzy neural network and training algorithm, neural network and fuzzy theory combined forecasting model.

    介绍了模糊神经网络的类型和训练算法,将神经网络、模糊理论结合,建立预测模型模型。

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  • The paper presents a short term load combined forecasting model using the simple average and weighted optimum combination principles.

    文中分别应用简单平均组合与最优加权组合原理,建立了短期负荷预测的组合模型。

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  • The result shows that combined forecasting model based on GMDH extracted the characteristics of data abundantly and displayed its unique superiority.

    实证结果表明,基于GMDH的组合预测模型充分的挖掘了数据中的特点,显示了其独特的优越性。

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  • 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.

    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。

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  • Combined with Q - learning, action tracing and intrusion forecasting, this model is applied to detect and response to the unknown intrusion.

    该模型把Q-学习、行为意图跟踪和入侵预测结合起来,可获得未知入侵行为的检测和响应。

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  • The result shows that this combined model can improve the precision of forecasting and avoid the shortage of negative weight in the process of optimal mix forecasting model.

    结果表明:基于神经网络组合预测模型不仅比单一预测方法能够从整体上提高预测精度,而且能避免最优组合预测模型有时出现负权重的不足。

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  • As a result, constructing the model of combined forecasting to predict the fluctuation of stock price has a theoretical value and a strong guidance.

    因此,构建组合预测模型来预测证券价格的波动,既具有一定的理论价值又具有较强的现实指导意义。

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  • The combined use of above method and the metabolic fractal interpolation forecasting model provides new idea and new method for improving the runoff prediction precision.

    并将该方法与新陈代谢分形插值预测模型结合使用,为有效提高径流预测精度提供了新思路和新方法。

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  • The grey forecast model has the very strong fusion strength and penetrability to the general model, so it can be combined with other models to improve the forecasting precision.

    由于灰色预测模型对一般的预测模型具有很强的融合力和渗透力,将灰色模型与其它模型结合进行分析和预测,可以提高预测精度。

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  • The first part is to systematically analyze single model and its application in the financial field, in order to lay a theoretical foundation for constructing the model of combined forecasting.

    本文一共分三部分:第一部分系统分析了单项预测模型及其在金融领域的应用,为构建组合预测模型奠定理论基础;

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  • Based on the dynamic and stochastic characteristic of short-term traffic volume, an approach combined wavelet analysis and fuzzy Markov forecasting model is put forward.

    基于短时交通量时间序列的随机波动特征,提出一种小波分析和模糊马尔柯夫结合的预测方法。

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  • Based on the dynamic and stochastic characteristic of short-term traffic volume, an approach combined wavelet analysis and fuzzy Markov forecasting model is put forward.

    基于短时交通量时间序列的随机波动特征,提出一种小波分析和模糊马尔柯夫结合的预测方法。

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