The GM (1, 1) forecast model fits in with mainly the smooth data sequence.
灰色预测模型GM(1,1)主要适用于光滑数据序列的预测。
Result: ANN forecast model of HFRS incidence was built with high prediction precision.
结果：建立HFRS发病率的ANN预测模型，其预测精度高。
It improves the unequal interval gray forecast model, and the prediction precision is improved.
弥补了传统非等间距原始数据预测模型的不足，提高了灰色预测的精度。
The mid and long term forecast model based on the time series analysis has a good forecast effect.
建立在时间序列分析基础上的中长期预报模型具有很好的预报效果，可以用于作业预报。
This paper also proves that any forecast model can be transfered into variable dimension fractal form.
本文还证明了任一预测模型均可转化为变维分形的形式。
Global regional assimilation and prediction system is a new numerical weather forecast model in China.
全球区域同化预报系统为中国新一代数值天气预报模式。
In the research of analysis for forecast model, the effect of parameters in forecast model is analyzed.
在阻塞预测模型分析研究中，论文分析了预测模型参数的影响。
And then the forecast output data can be obtained through forecast model under certain input conditions.
然后，在一定输入条件下，通过预测模型，即可求得预测输出。
We also compared the prognostication precision, endow differ power, and established assembled forecast model.
比较各方法预测精度，赋予不同权重，建立组合预测模型。
With the modeling method, the paper gives the gray self -adaptive forecast model of the ground mobile target.
利用该建模方法，给出了地面运动目标轨迹的灰色自适应预测模型。
Based on the development of Guangzhou power short term load forecast system, a feasible forecast model is designed.
结合广州电网负荷短期预测系统的开发工作，设计了合理的预测模型。
The paper improves forecast veracity and guides work of littoral medium and small cities' air quality forecast model.
对沿海地区中小城市今后开展空气质量预报工作具有一定的指导意义。
Recent study results show that combined forecast model approach enjoys more precise forecast than monomial forecast approach.
近年来的研究表明，组合预测方法比单项预测具有更高的预测精度。
An initial forecast model of BP neural networks is established, and is trained using the history data of our hospital inventory.
建立了一个BP神经网络初始预测模型，并用医院库存的历史数据进行了网络训练。
This traffic demand forecast model is established based on regression analysis, time value model and gravity distribution theory.
该模型基于回归分析、时间价值原理与重力分布原理预测交通量建立。
Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.
多维混合回归系统模型是将回归与自回归结合起来的综合模型。
However, the precision of GM (1, 1) grey forecast model are not preferable to model the monitoring series with obvious seasonality.
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。
Thirdly, the establishments of financial analysis forecast model of many oil fields and the financial model base have been realized.
第三，建立了多个油田的财务分析预测模型并实现了财务模型库的建立。
A practical example of oilfield production forecast shows that using the improved gray forecast model high accuracy can be obtained.
通过对油田产量预测的实例计算表明，改进的灰色模型预测精度明显提高。
Finally, a forecast model of frequency of stratiform clouds in Qilian Mountains was built based on the circulation characteristic factors.
最后，用前期环流特征量为因子建立了祁连山主区层状云频率的预测模型。
Short term forecast model of disease development and wood loss rate are built. Control guideline and economic threshold value are decided.
建立了病害发生的短期测报模型和材积损失率估测模型，确定了病害的防治指标和经济阈值。
The bearing life forecast model based on BP network is researched. The multi step and multi feature forecasts can be realized concurrently.
试图用BP神经网络建立轴承寿命预测模型，并在该模型上进行多特征参数和多步预测方法的研究。
While neural network is applied to ST(Special Treatment) forecast model, the sticking point is ascertaining suitable dimensions of network.
当神经网络用于上市公司的ST预测建模时，确定合适的网络规模是关键。
A forecast model for long-term weather forecast is established in terms of a BP neural network using solar-lunar positions as input factors.
采用误差反传前向网络（简称BP网络）方法，以日、月相概率作为输入因子，建立长期天气预报模型。
The result and the application of the forecast model for calculating the depositional rate after warping the bank in the silty estuary are discussed.
对淤泥质河口边滩围垦淤积效果预报模式及应用进行了探讨。
This thesis covers three aspects: the process method of daily load data, the research of forecast model and the software development of daily loadforecast.
本文的工作包括日负荷历史数据的处理、预测模型建模理论研究和日负荷预测的软件实现问题三个方面。
The results show the self-adapt optimized combination forecast model covering the aging function is better than the other forecast models for gas demand forecast.
结果表明，融入时效函数的自适应递推优化组合预测模型比采用其它预测模型预测的结果更好。
The results show the self-adapt optimized combination forecast model covering the aging function is better than the other forecast models for gas demand forecast.
结果表明，融入时效函数的自适应递推优化组合预测模型比采用其它预测模型预测的结果更好。
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