灰预测模型 meaning in Chinese
grey forecasting model
Examples
- This approach deduces the missing value which makes the best of all information in time zone of missing point
建立前向灰预测和后向灰预测模型，充分利用缺失值时区窗口内的全部信息对其进行推理。 - We also build a series of models , including grey association model , grey - cluster model , grey prediction model , grey - neural - network model , grey - markoff model , grey - sequence model , etc . besides these , the author also apply these models in securities basic analysis and technological analysis
这些模型包括灰关联模型、灰聚类模型、灰预测模型、灰神经网络模型、灰马尔可夫模型、灰序列模型、增长率和发展态势挖掘模型等等。除此之外，作者还将这些模型应用于证券分析领域，分别在证券分析领域的基本分析方面和技术分析方面做了卓有成效的实证应用研究。 - To ensure all segments under construction to approach corresponding construction segmental reasonable states in both configuration and mechanics states and good behavior of structure after completion , escaping from all kinds of accidents in whole process of construction with high efficiency , safety , excellent quality of engineering achieved , the grey prediction model ngm ( 1 , 1 ) was proposed to fit prediction of any raw grey series by studying grey causes and whitening results based on the normalized mapping rules ; random perturbation method of genetic algorithms was proposed to raise efficiency of forward rolling optimization ; simultaneous analysis of strength and stability was carried out to ensure safety of strength and stability
摘要为了保证实际施工中结构各节段在构形和受力状态两方面逼近施工节段合理状态，避免事故发生，确保工程高效、安全、优质，基于归一化映射规则，研究灰因和白果，提出了适应任意灰序列的灰预测模型ngm ( 1 , 1 ) ；研究遗传算法的随机摄动法，提高向前滚动优化效率；研究强度、稳定性的同步分析技术，保证施工过程强度、稳定性安全。 - A normalized mapping rule of raw grey series is introduced by analysis of exponential function characteristics of the whitening differential equation , which makes the non - equigap grey prediction model ngm ( 1 , 1 ) fit for universal raw grey series , improves prediction precision greatly , meanwhile makes innovation to series with negative values and enlarges grey prediction theory
通过对白化微分方程解的指数函数特性的分析，研究了原始灰序列的归一化映射规则，使非等间距灰预测模型ngm ( 1 ， 1 )适应一般灰序列，灰预测精度也大大提高。这亦解决了含负值灰序列预测的理论问题，拓宽了灰色预测理论。