• For problems to forecast sequence, it is important and effective to use data directly and not change them artificially in order to mine true rules of the object.

    序列问题预测,提出处理的方法应尊重数据本身规律人为的采取另行预处理以便挖掘出对象本质规律。

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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)主要适用光滑数据序列的预测。

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  • The time sequence method which is quite valuable for use, is applied to the forecast and error analysis of daily water supply amount in Xiamen City.

    应用时间序列厦门城市供水量进行预测误差分析,具有较强实用价值

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  • This paper presents the residual error forecast model of average-growing function by using its residual error data sequence to adjust the model based on the finished forecast model.

    在均生函预报模型基础利用数据序列均生函数预报模型进行校正提出了均生函数残差预报模型。

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  • In chapter four, time sequence method was used to forecast the market capacity of domestic dispenser industry in coming five years.

    第四运用时间序列国内加油机市场未来市场容量进行预测

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  • Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.

    马尔柯夫适用样本数据序列短期预测灰色系统预测方法适用于小样本数据的中期预测。

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  • This paper gives a way different from old mathematical model. We use the association of sequence pattern to analyse and Forecast.

    该文提出了不同于传统的数学建模方法,而采用时序模式关联思想进行分析和预测。

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  • For single sequence, the calculation is rather simple. An example in sea-fishery forecast is given.

    用于序列计算相当简单。文中,有海洋渔业预测实例

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  • As a means to forecast oil and gas, the application of sequence stratigraphy on research of organic facies will be very important for the exploration of oil, gas, and coal.

    作为一种油气预测手段,层地层学有机研究方面应用油气田、煤田的勘探开发有着重要的作用。

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  • By using the grey model to simulate and forecast the above sequence data, and through forecasting a certain regional yeild by the anti-formula that pushed the commercial real estate market value.

    本文利用灰色系统模型所得数据序列进行模拟预测,进而通过某一区域的收益还原率进行预测公式得出商业地产市场价值

    youdao

  • Using difference method to smooth the sequence, We determined the order and established the 2010 national maternal mortality ratio forecast model to evaluate the predicting results.

    采用差分方法序列资料进行平稳化,进行建立2010年全国孕产妇死亡率数据的序列分析预测模型,并对预测结果进行分析评价

    youdao

  • Using difference method to smooth the sequence, We determined the order and established the 2010 national maternal mortality ratio forecast model to evaluate the predicting results.

    采用差分方法序列资料进行平稳化,进行建立2010年全国孕产妇死亡率数据的序列分析预测模型,并对预测结果进行分析评价

    youdao

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