1) distribution of forecasting value
预测值分布
1.
In this paper,a method for modifying linear forecasting model to potential analysis forecasting model is discussed,and the distribution of forecasting value is given by using numerical simulatio
本文讨论把线性预测模型修改成势分析预测模型,并用数值模拟方法给出预测值分布的方法。
2) distribution prediction
分布预测
1.
Formation mechanism and distribution prediction of high-quality marine reservoir in deeper Sichuan Basin;
四川盆地深部海相优质储集层的形成机理及其分布预测
3) distribution forecast
分布预测
1.
The article puts forward the theory of the improvementson the gravitation modelin the practical application for traffic distribution forecast,The improvedmodelis hopedto do the quasi-coincidenceof the existing data even better.
本文在交通分布预测的实际应用中对重力模型进行了改进。
4) predictive distribution
预测分布
6) remaining oil distribution forecast
剩余油分布预测
1.
Oilfield remaining oil distribution forecast' are called world-level difficult problems by oil domain specialists in the world.
油田剩余油分布预测被国内外石油领域专家公认为世界难题,目前,其预测准确率低的根源在于或者只考虑部分客观证据、或者只考虑部分主观证据,导致对剩余油分布水淹类型等特征分类准确率低、可靠性差。
2.
In order to improve effectively the accuracy rate and reliability of remaining oil distribution forecast in oil field,a new model is proposed,which utilizes the merits of BP neural network combination model and two-level D-S evidence reasoning model and avoids their demerits.
为了有效地提高油田剩余油分布预测的准确率和可靠性,通过BP神经网络联合模型与两级D-S证据推理模型的优势互补进行主客观证据融合,实现了剩余油分布多属性特征的准确分类。
补充资料:分布预测
分布预测
distribution forecast
的忍虫分害虫内农①地孟,对条件〔,推利用生长不同互(仓间的乞)害虫预测预报内容之一,即根据害虫对环境因国耐力,估计其分布区域或田间分布密度。影响是布的因素主要是气候因素和食物因素。前者影叮在大范围内的地理分布,后者影响害虫在种植眨田田块之间的分布和密度。预测分布的方法有:理分布预测:利用该种害虫生长发育所需有效积温度和湿度适应的最高、最低阑限,以及对食米的要求,比较不同地理区域能满足上述条件的程测其分布的区域和界线;②田间分布密度预测;害虫对寄主植物的选择性,根据田间作物布局矛状况(品种、生育期、肥力水平等),预测害虫桩类型田内的分布密度。或者根据作物田距离虫源库、杂草、受害田或山地)的远近,预测害虫在日分布密度。(张孝分布预测(distribution foreeast)
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