结果表明，季节性的ARIMA模型可以很好地满足空调系统新风预测的要求。
The results show that the seasonal ARIMA model is qualified for prediction of outdoor air control of VAV systems.
文章还讨论了季节性和趋势性模型。
The seasonal models and the trend models are also discussed in the paper.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
文中介绍了季节性神经网络建立的残差修正模型。
The paper introduces a modified model of seasonal artificial neural network.
针对短生命周期产品的特点，我们利用类似产品补充主要信息，并对模型进行了季节性修正。
According to the demand characteristics, we complement the main information with the data of past products'. The model is revised with seasonal factor.
实例表明，此模型简单有效，对于季节性预测问题有很强的实用性和较高的预测精度。
The example shows that this model is simple and effective. It is very practical for seasonal forecasting and it has high forecast accuracy.
利用随机过程及时间序列分析手段，根据用水量序列季节性、趋势性及随机扰动性的特点，建立了用水量预测的自适应组合平滑模型。
Based on random process theory and time series analysis, the paper advanced the adaptive combined smoothing model suiting to seasonality, trend and randomness of water consumption series.
结论GM（1，1）季节指数模型可以应用于季节性传染病的预测。
Conclusions GM(1,1) season-exponential model can be applied in forecasting seasonal infectious disease.
目的探讨应用季节性时间序列ARIMA模型预测非稳定性疟区疟疾发病率的可行性。
Objective To explore the application of seasonal time series ARIMA model in prediction of malaria incidence in an unstable malaria area.
然而直接应用GM(1,1)灰色模型分析和预报具有季节性的监测序列时往往精度不高。
However, the precision of GM (1, 1) grey forecast model are not preferable to model the monitoring series with obvious seasonality.
根据流域特点，在考虑季节性冻土的运移状况下，采用融雪径流模型与水箱模型相结合的方法，在整个黄河源区进行模拟。
On the basis of migration of seasonal frozen soil, simulates the Yellow River Source Region's runoff by snowmelt runoff model and tank model.
目的：利用SAS程序实现ARIMA模型，探讨ARIMA预测模型在季节性时间序列资料分析中的应用。
Objective:To establishment the SAS procedure of ARIMA Model and to investigate the application of ARIMA predictive model in seasonal time series.
利用灰色系统模型改进季节性趋向模型，预测城市环境空气中二氧化硫的未来年度值。
Improve the season tendency model by using the grey system modern and predicate the future yearly figure of the dioxide of the atmosphere about the system environment.
通过多种可能性分析，以新预测模型季节性门限回归模型和季节性人工神经网络模型效果较为突出。
As a whole, the prediction result from seasonal threshold regression model and seasonal artificial neural network model is better than other models.
目的探讨季节性时间序列ARIMA预测模型在时间序列资料分析中的应用，建立HFRS发病率的预测模型。
Objective To discuss the application of seasonal time series ARIMA predictive model and fit predictive model of HFRS incidence.
结论季节趋势模型可用于拟合既具有长期趋势，又具有季节性特点的数据，并可利用模型进行短期预测。
Conclusion the seasonal trend model can be used to fit epidemic data that describe a long-term trend and seasonal characteristics, and to predict the short-term dynamics.
海平面模型误差和不恰当的加权方法都会影响全球海平面序列的周年变化，潮汐模型误差对于季节性变化有明显的影响。
The error of current ocean tide model affected global mean sea level in the periods of about 60 and 90 days.
海平面模型误差和不恰当的加权方法都会影响全球海平面序列的周年变化，潮汐模型误差对于季节性变化有明显的影响。
The error of current ocean tide model affected global mean sea level in the periods of about 60 and 90 days.
应用推荐