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1)  probabilistic forecasting
概率学预测
2)  pattern recognition
概率预测
1.
Coal and gas outburst pattern recognition and possibility prediction of Panyi Mine;
潘一矿煤与瓦斯突出危险性模式识别与概率预测
2.
In this paper, geo-dynamic zoning method was used to research regional geology structure, multi-factor pattern recognition method was applied to predict regional coal and gas outburst danger.
文中通过地质动力区划方法确定区域地质构造背景,采用多因素模式识别概率预测方法完成煤与瓦斯突出危险性的区域预测。
3)  prediction probability
预测概率
1.
Comparison of unconsciousness prediction probability with approximate entropy and bispectral index during sedation;
脑电近似熵与双频指数在意识消失时预测概率的比较
4)  probability prediction
概率预测
1.
Establishing the relationship among the common load variance,component strength variance and component failure dependency by correlation coefficient,an un-empirical model for probability prediction of common cause failures was derived.
该模型与方法直接体现了共因失效内在机理,克服了传统模型过多依赖历史数据或主观经验而忽略共因失效发生及作用规律的局限,为冗余系统风险数据分析、概率预测,特别是可靠性设计提供了新途径。
2.
It analyzes the operational characteristic of vehicle and establishes its probability prediction model based upon the data of brake malfunction in many continuous downhill highways.
通过对车辆运行特征中的多种因素进行分析,以多条高速公路连续长下坡路段的实际制动失灵事故资料为依据,建立制动失灵事故发生概率预测模型,对其验证表明,该模型拟合程度较好,安全性好,可有效预测高速公路连续长下坡路段的制动失控事故。
5)  probabilistic forecasting
概率预测
1.
This paper thoroughly resea rches the effect of air temperature on annual peak load,and on the basis of whic h, the probabilistic forecasting model of annual peak load is established.
概率预测已经在气象、地震预测等领域中成功应用。
6)  Probabilistic prediction
概率预测
1.
It is probably some strong criterion in this paper that the world strong earthquake data in 20 century has been divided into 7 activity periods and compared with the medium - strong earthquake data in same periods in China and obtained probabilistic prediction of strong erthquakes in coming 3 years in China.
本文将20世纪全球强震活动划分为7个活动期,以国内中强以上地震同期活动资料进行比较,对未来国内强震活动趋势作出中期的统计概率预测,似乎可以作为一个较为有力的判据。
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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