• But Dr. Hamann believes better data will lead to longer-term improvements through a combination of scenario-based forecasting and public awareness.

    不过,哈曼博士相信,通过基于情景的预报,以及公众意识的提高,更好的数据从长期上会改善污染状况。

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  • Moreover, SVM-based forecasting model performs faster than ARMA model to forecast the communication traffic. Generally speaking, the overall performance of SVM model is optimal.

    而且SVM的预测速度明显比arma模型快,综合各方面考虑,SVM预测模型的整体性能最优。

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  • Impact-based forecasting and alert, LinkCM is supporting on muti-business line data integration and further analysis, from data to information, from information to knowledge, from knowledge to wisdom.

    基于影响的预测预报预警,通过多部门数据融合和数据再加工,将基础数据转换为信息,在信息中总结出知识,在知识中凝练出智慧,使大数据真正造福于人类文明。

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  • Dr Wolfe, the director of California-based firm Global Viral Forecasting, has recently acted as a consultant for the new movie Contagion, starring Kate Winslet and Gwyneth Paltrow.

    沃尔夫博士是总部位于加州的全球病毒预报机构的负责人,最近他为新电影《传染病》担任了顾问,这部电影是由凯特•温丝莱特和格温妮丝·帕特洛主演的。

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  • The chaotic forecasting of power load is based on reconstructing phase space of the power load series.

    电力负荷的混沌预测是建立在重构电力负荷序列的相空间基础之上的。

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  • Based on the data platform with multidimensional database, some applications such as demand forecasting and strategic synergy are needed.

    需求管理系统以多维数据库做基础数据平台,其上要构建需求预测和战略用户协同等多个子系统。

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  • The features of coke oven flue temperature are analyzed, and a highly accurate soft-sensing model based on error forecasting is established to measure the coke oven flue temperature on-line.

    针对焦炉火道温度在线检测的问题,在分析焦炉火道温度特性的基础上,建立了一种基于误差预测的高精度焦炉火道温度软测量模型。

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  • This paper established the yield and conflux forecasting scheme of reservoir flood based on analyzing error generation characteristics of Zhanghe reservoir flood.

    在分析漳河水库入库洪水误差特点的基础上,建立了入库洪水产汇流预报方案。

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  • Forecasting - Analyze and predict future outcomes based on historical patterns.

    基于对历史的模式预测-分析和预测未来的结果。

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  • Based on catastrophe forecasting of grey theory to predict the date of equipment failure, the base for overhaul of equipment from planning repairing to status repairing is provided.

    根据灰色理论中的灾变预测,对发电厂中设备的故障日期作了预测,从而为实现设备从计划检修向状态检修提供了依据。

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  • Paul Edwards, chairman of the London-based Henley Centre forecasting group, points out that the feeling of pressures can also be exaggerated, or self-imposed.

    总部设在伦敦的亨利中心预测小组组长保罗·爱德华兹指出,压力感也可能被夸大,或者被强加于自身。

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  • In application of neural networks based short-term load forecasting model, the main problems are over many training samples, thus resulting long training time and slow convergence speed.

    在神经网络负荷预测实际应用中,突出的问题是训练样本大、训练时间长、收敛速度慢。

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  • Based on the Bayesian forecasting technology, a practical time-varying wireless channel model was proposed.

    基于贝叶斯预测技术,提出了一种实用的时变无线信道模型。

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  • According to the building of CBR system, we analyzed and demonstrated the project of fruit diseases forecasting system based on the Case-Based Reasoning and implemented every function module.

    围绕CBR系统的构建,分析论证了基于案例推理的果树病害预测系统平台的设计方案,实现了各模块功能。

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  • The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.

    这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠,而且计算量小、相对容易操作。

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  • Results show that the quality control is critical to the forecasting based on the rational designed function.

    结果显示,在合理的泛函设计的基础上,质量控制的好坏直接影响预报结果。

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  • This model achieves satisfactory results based on integrating with recurrent forecasting method.

    在结合递归预测方法的基础上,该模型取得了令人满意的结果。

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  • Based on ideals of improving on forecasting precision of the grey model, an improved grey forecasting algorithm was given.

    基于改进灰色模型预测精度的思想,给出了一种改进的灰色模型预测算法。

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  • Based on the theoretical study and analysis of super short time load forecasting, this paper proposed voltage and reactive power control strategy based on super short time forecasting.

    通过对超短期负荷预测理论的分析和研究,提出了基于超短期负荷预测技术电压无功控制策略。

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  • Finally built a two linear forecasting models based on smoothing of time queue about analysis of sale trend, and verified the design analysis of this paper partly.

    最后,建立了基于时间序列的二次指数平滑线性预测模型,进行商品销售趋势的分析,部分验证了本文的设计分析。

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  • The concept and predict models of abnormality precipitation in winter of Aletai region were established based on forecasting each physics meaning of factor.

    在普查及分析各因子物理意义的基础上,建立了阿勒泰冬季降水异常的概念模型及预测模型。

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  • Then, we realize classification modeling and forecasting test based on SVM.

    然后基于支持向量机进行分类建模和预测。

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  • Due to most of current early-warning of enterprise crisis only give a alarm other forecast, the paper presents a method based on gray forecasting and pattern recognition.

    针对当前大部分企业危机预警模型只能报警,不能预测的现状,提出一种基于灰色预测与模式识别的预警方法。

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  • We presented a novel method for forecasting landslide displacement based on phase space reconstruction and support vector machine.

    提出了一种基于相空间重构与支持向量机预测滑坡位移的新方法。

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  • At last the method of combination forecasting based on function of fresh degree is applied and the precision of prediction is further improved.

    最后利用基于新鲜度函数的变权重组合预测方法对预测结果进行组合预测,进一步提高了预测精度。

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  • After study of the combined forecasting methods based on the ANN theory, it is put foreword that Exponential-Smooth (ES) and ANN combine a new prediction algorithm.

    并且对基于神经网络的组合预测方法进行了研究,提出了一个神经网络和指数平滑模型组合运用的预测算法。

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  • To forecast fatigue strength or fatigue life of the bogie frame of a high-speed train effectively, a method for fatigue strength forecasting based on tested spectrum loads was proposed.

    为了有效地预测高速列车转向架构架的疲劳强度或寿命,提出了一种基于试验谱载荷的疲劳强度预测方法。

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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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  • In order to research temperature trend forecasting of rolling electric machine, a temperature trend forecasting algorithm based on SVM is proposed.

    为了对轧线电机温度趋势预测进行研究,提出了一种基于支持向量机的温度趋势预测算法。

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  • In order to research temperature trend forecasting of rolling electric machine, a temperature trend forecasting algorithm based on SVM is proposed.

    为了对轧线电机温度趋势预测进行研究,提出了一种基于支持向量机的温度趋势预测算法。

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