• A nested numerical storm surge forecast model for the East China Sea is developed.

    建立了一个覆盖东海的两重嵌套网格高分辨率台风暴潮数值预报模式。

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  • Global regional assimilation and prediction system is a new numerical weather forecast model in China.

    全球区域同化预报系统为中国新一代数值天气预报模式。

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  • Based on the Gray System theory and the test data, a strength forecast model of concrete in seawater is established.

    根据灰色系统理论,依据试验数据建立了海水作用下混凝土的强度预测模型。

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  • The GM (1, 1) forecast model fits in with mainly the smooth data sequence.

    灰色预测模型GM(1,1)主要适用于光滑数据序列的预测。

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  • The method of building soil water forecast model with neural network is available.

    用神经网络建立土壤水分预测模型的方法是可行的。

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  • Typical examples proved that the model is a very accurate water demand forecast model.

    通过实例证明该模型是一种行之有效的用水量预测模型。

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  • Result: ANN forecast model of HFRS incidence was built with high prediction precision.

    结果:建立HFRS发病率的ANN预测模型,其预测精度高。

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  • The operational application has shown that the forecast model is of some practical value.

    业务试用表明,本方法具有较好的使用价值。

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  • Egress time forecast model was also built based on number of seats and exit gate in venue.

    提出基于场馆座位数量、出口个数的疏散时间预测模型。

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  • It improves the unequal interval gray forecast model, and the prediction precision is improved.

    弥补了传统非等间距原始数据预测模型的不足,提高了灰色预测的精度。

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  • The mid and long term forecast model based on the time series analysis has a good forecast effect.

    建立在时间序列分析基础上的中长期预报模型具有很好的预报效果,可以用于作业预报。

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  • We set up the forecast model with move average variables, which can obtain forecast data one by one.

    建立带移动平均的预测模型,使预测值可以逐个地得到。

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  • This paper also proves that any forecast model can be transfered into variable dimension fractal form.

    本文还证明了任一预测模型均可转化为变维分形的形式。

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  • And then the forecast output data can be obtained through forecast model under certain input conditions.

    然后,在一定输入条件下,通过预测模型,即可求得预测输出。

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  • In this way, the EMC forecast model will be visualized, simple and can be actualized easily by computer.

    应用该方法,EMC预测模型变得直观、简洁,便于通过计算机实现。

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  • Therefore, the dynamic gray forecast model had higher value than static model in dam deformation forecast.

    因此,动态灰色预测模型在大坝变形的预测预报中比静态预测模型具有更高的应用价值。

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  • With the modeling method, the paper gives the gray self -adaptive forecast model of the ground mobile target.

    利用该建模方法,给出了地面运动目标轨迹的灰色自适应预测模型。

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  • Based on the development of Guangzhou power short term load forecast system, a feasible forecast model is designed.

    结合广州电网负荷短期预测系统的开发工作,设计了合理的预测模型。

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  • The paper improves forecast veracity and guides work of littoral medium and small cities' air quality forecast model.

    对沿海地区中小城市今后开展空气质量预报工作具有一定的指导意义。

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  • Recent study results show that combined forecast model approach enjoys more precise forecast than monomial forecast approach.

    近年来的研究表明,组合预测方法比单项预测具有更高的预测精度。

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  • The forecast model includes three parts of the sequential auto-regression item, linear regression item and double-linear item.

    预测模型包含时序自回归项、线性回归项和双线性项三部分。

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  • An initial forecast model of BP neural networks is established, and is trained using the history data of our hospital inventory.

    建立了一个BP神经网络初始预测模型,并用医院库存的历史数据进行了网络训练。

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  • Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.

    多维混合回归系统模型是将回归与自回归结合起来的综合模型。

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  • Finally, a forecast model of frequency of stratiform clouds in Qilian Mountains was built based on the circulation characteristic factors.

    最后,用前期环流特征量为因子建立了祁连山主区层状云频率的预测模型。

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  • The forecast model is set up by using the grey-theory, and the particular years of severe calamities in China are forecasted and analysed.

    利用灰色系统理论和方法建立灾变预测模型,对中国重灾出现年份作出预测分析。

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  • Short term forecast model of disease development and wood loss rate are built. Control guideline and economic threshold value are decided.

    建立了病害发生的短期测报模型和材积损失率估测模型,确定了病害的防治指标和经济阈值。

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  • The bearing life forecast model based on BP network is researched. The multi step and multi feature forecasts can be realized concurrently.

    试图用BP神经网络建立轴承寿命预测模型,并在该模型上进行多特征参数和多步预测方法的研究。

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  • While neural network is applied to ST(Special Treatment) forecast model, the sticking point is ascertaining suitable dimensions of network.

    当神经网络用于上市公司的ST预测建模时,确定合适的网络规模是关键。

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  • To reduce the effect of climatic disaster and improve it's forecast level, the nonlinear forecast model of the climatic disaster was set up.

    为了减少气候灾害造成的损失,提高灾害性气候的预测水平,用非线性预报原理和方法,建立了气候灾害的数学预测模型。

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  • To reduce the effect of climatic disaster and improve it's forecast level, the nonlinear forecast model of the climatic disaster was set up.

    为了减少气候灾害造成的损失,提高灾害性气候的预测水平,用非线性预报原理和方法,建立了气候灾害的数学预测模型。

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