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This paper introduces comprehensively the predicting methods and models in the public traffic planning of Luoyang city and emphatically expounds modelling,calculating as well as precision analysis of grey dynamic forecast model-GM(1,1).The author utilizes a way where grey correlation analysis is combined with multivariate linear regression model,and at the same time proposes a way of characteristic prediction that(?)can open the information channels reflecting the flexibility of the prediction skill.... This paper introduces comprehensively the predicting methods and models in the public traffic planning of Luoyang city and emphatically expounds modelling,calculating as well as precision analysis of grey dynamic forecast model-GM(1,1).The author utilizes a way where grey correlation analysis is combined with multivariate linear regression model,and at the same time proposes a way of characteristic prediction that(?)can open the information channels reflecting the flexibility of the prediction skill. 文章介绍了“洛阳市公共交通规划”中所采用的预测方法和模型,着重论述了灰色动态预测 GM(1,1)模型的建模、模型处理及精度分析,并利用灰色关联分析和多元线性回归模型相结合进行预测,还提出了能开拓信息渠道反映预测技术灵活性的特征预测. Establishes a grey dynamic forecast model of moisture vapor transmission through fabrics by the grey system theory and the analyses of moisture permeability of fabrics ; proves bya set of experiments that this model has a high forecast precision in practices. 本文通过对织物透湿性的定性分析，应用灰色系统理论，建立了织物透湿率的灰色动态预测模型，经实验验证，该模型具有很高的预测精度。 ve To analyze and forecast the air pollution by SO2 and NOx in area of Shanghai railway station. Methods Based on the data on concentrations of SO2 and NOx in the air of the monitoring locations in area of Shanghai railway station during 1988~1999, using grey system mode, the model of grey dynamic forecast was es-tablished and was applied for forecasting the concentrations of SO2 and NOx in air during 2000~2002. Results During 1988?1999, the concentrations of SOz and NO, in air of area of Shanghai railway... ve To analyze and forecast the air pollution by SO2 and NOx in area of Shanghai railway station. Methods Based on the data on concentrations of SO2 and NOx in the air of the monitoring locations in area of Shanghai railway station during 1988~1999, using grey system mode, the model of grey dynamic forecast was es-tablished and was applied for forecasting the concentrations of SO2 and NOx in air during 2000~2002. Results During 1988?1999, the concentrations of SOz and NO, in air of area of Shanghai railway station had declined grad-ually. The forecasted average concentration of SO2 was 0.021 6 mg/m3 in the 1st and 4th quarters, 0.014 2 mg/m3 in the 2nd and 3rd quarters respectively. The forecasted average concentration of NOx was 0.070 6 mg/m3 in the 1st and 4th quarters, 0.049 2 mg/ m3 in the 2nd and 3rd quarters during 2000~2002 respectively. Conclusion This grey model was suitable for forecasting air pollution by SO2 and NOx in area of Shanghai railway station. 目的 分析并预测上海火车站（上海站）地区空气SO2和NOx污染状况。方法 运用灰色系统方法并根据上海站大气监测点1988～1999年空气SO2和NOx的监测数据建立灰色动态预测模型并进行预测。结果1988～1999年上海站地区空气SO2和NOx污染水平逐年下降,2000～2002年预测SO2平均浓度一、四季度为0.0216mg/m3,二、三季度为0.0142mg/m3;预测NOx平均浓度一、四季度为0.0706mg/m3,二、三季度为0.0492mg/m3。结论 灰色模型适合上海站地区空气SO2和NOx的污染预测。
grey dynamic forecast
灰色动态预测
Air Pollution by SO_2 and NO_x and Their Grey Dynamic Forecast 空气SO_2和NO_x污染及灰色动态预测 短句来源 Methods Based on the data on concentrations of SO2 and NOx in the air of the monitoring locations in area of Shanghai railway station during 1988~1999, using grey system mode, the model of grey dynamic forecast was es-tablished and was applied for forecasting the concentrations of SO2 and NOx in air during 2000~2002. Results During 1988? 方法 运用灰色系统方法并根据上海站大气监测点1988～1999年空气SO2和NOx的监测数据建立灰色动态预测模型并进行预测。 短句来源 The Grey Dynamic Forecast of the Biomass of Bruguiera gymnorrhiza Stand 木榄林生物量的灰色动态预测 短句来源 Pointing to this feature,the grey dynamic forecast model was adapted to forecast the power forward prices,a kind of composite grey neural network forecast model was put forward,and the research on forecast result of various models were carried out. 针对这一特点 ,采用灰色动态预测模型对电力远期价格进行预测 ,提出一种组合灰色神经网络预测模型 ,并对不同模型的预测结果进行了研究。 短句来源 Establishes a grey dynamic forecast model of moisture vapor transmission through fabrics by the grey system theory and the analyses of moisture permeability of fabrics ; proves bya set of experiments that this model has a high forecast precision in practices. 本文通过对织物透湿性的定性分析，应用灰色系统理论，建立了织物透湿率的灰色动态预测模型，经实验验证，该模型具有很高的预测精度。 短句来源 更多 相似匹配句对
Dynamic 地方科技动态 短句来源 DYNAMIC 动态 短句来源 Study on Grey Dynamic Programming 灰色动态规划研究 短句来源 Safety Grey Assessment in Dynamic 系统动态安全评价与预测的灰色方法 短句来源 Dynamic Grey Forecast Used in the Comprehensive Benefit Evaluation 综合效益值的灰色动态预测 短句来源 
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