预测结果表明季节和趋势预测模型是一种有效和可行的负荷预测方法。
The forecasting result shows that season and trend mode is an effective and feasible load forecasting method.
实验结果表明，应用GP决策树算法能够正确完成对趋势预测模型的选择。
Experimental results show that the choice for trend forecasting models can be correctly finished by using GP-decision tree algorithm.
对专利的主要构成因素进行了分析，在此基础上选择合理的专利发展趋势预测模型。
This paper makes analysis on the main component factors and, based on this, selects rational models for forecasting patent developing trends.
利用最小二乘法原理，建立了水质变化趋势预测模型，对硫酸盐浓度的变化趋势进行了回归分析。
Using the least square method bring forward the formula of movement current that quality of groundwater, and predicate the diversification current of sulfate.
机械装备性能衰退趋势预测模型，采用单隐层前馈网络，通过径向基函数的扩展速度的选择创建网络。
The decay trend prediction model of mechanical equipment capability adopted single invisible layer feed forward network and chose the expansion speed of RBF, the network was established.
输入所有数据后，模型预测出整体降温趋势。
When all of the data were entered, an overall cooling trend was predicted by the model.
此外，预测模型还可以考虑使用循环模式，如七天的周循环或每季度累计销售趋势。
Additionally, prediction models can take into account cyclical patterns, such as a seven day weekly cycle or a quarterly cumulative sales trend.
Varian和Choi表示，共同利用这些搜索趋势和经济计量模型就能够提高预测的准确性。
Mr Varian and Mr Choi show that the addition of these search trends to econometric models improves the accuracy of their estimates.
如果地球气温像电脑模型预测的那样持续升高，那么浮游植物的总体下降趋势也可能继续。
If the planet continues to warm in line with projections of computer models of climate, the overall decline in phytoplankton might be expected to continue.
这项新的研究显示，像格陵兰冰盖这样的冰层对这种变暖趋势的反应在几十年内就会显现，而非传统的热模型所预测的那样百年后才会出现。
The new study showed ice sheets like the Greenland ice sheet can respond to such warming on the order of decades rather than the centuries projected by conventional thermal models.
文中评述了森林可燃物分类、可燃物模型及其预测研究的现状，并简述了我国森林可燃物研究存在的问题与发展趋势。
This paper discussed the current status of the study on classification, modeling and prediction of forest fuel, and presented briefly the weakness and development tendency of the study on forest fuel.
分类是一种重要的数据分析技术，可以用于提取描述重要数据类的模型和预测未来的数据趋势。
Sortation, which can be used to extract, describe major data type model and forecast the data tendency, is an important technology for data analysis.
最后，建立了基于时间序列的二次指数平滑线性预测模型，进行商品销售趋势的分析，部分验证了本文的设计分析。
Finally built a two linear forecasting models based on smoothing of time queue about analysis of sale trend, and verified the design analysis of this paper partly.
该模型应用于黄河三角洲广饶县井灌区咸水的入侵发展趋势预测，研究成果表明，该方法快捷有效。
The model has been employed in the salt water intrusion development tendency prediction of the Guangrao county well irrigation area at Huanghe delta.
数据分类和预测是两种数据分析形式，可以用于提取描述重要数据类或预测未来的数据趋势模型。
Data classification and prediction is the two forms of data analysis, can be used to extract important data to describe or predict the future trend of the data model.
分析表明：该模型较好地预测了短时交通流的变化趋势。
Analysis shows this model is able to predict the variation trend of short time traffic flow.
地质学家休伯特曾提出了石油生产的典型规律，并运用该模型对未来石油产储量趋势做了较为准确的预测。
Geologist Hubert has observed the typical law of petroleum production and made accurate prediction on the developing trend of petroleum output and storage with the model.
分析了1993~2003年的火灾统计数据，应用自适应过滤模型预测了火灾发展趋势。
The author analyzes the fire statistic date from 1993 to 2003, and forecasts the fire development trends by adaptive filtering model.
本文将市区的浅层地下水硬度作为灰色量，用已有的硬度数据建立GM(1,1)灰色模型，预测其未来的变化趋势。
In this paper, the hardness of the shallow groundwater was treated as a grey variable and the GM (1, 1) grey model was created to predict the future trend of the change in hardness.
应用神经网络理论，建立了预测状态监测数据趋势的BP神经网络模型，并通过MATLAB实现了仿真编程。
Applying the theory of ANN, in this paper established the BP neural network model to predict the trend of development of condition monitoring data and simulated the network in MATLAB.
最后通过比较得出趋势外推与ARMA组合模型的预测结果不仅准确性高、而且稳定性好这一结论。
Finally, a comparison of the results is made, which shows that the prediction result of the combined model based on trend extrapolation and ARMA is not only more accurate, but also more stable.
结合渭河流域陕西片的降雨变化趋势，建立了运用分布式水文模型预测流域径流变化规律的情景分析方法。
According to the change trend of rainfall in Weihe River Basin in Shaanxi, the paper established the scenario analysis method to predict the changes of runoff using distributed hydrological model.
目的探讨三维自回归趋势面模型技术在疾病时空动态分析预测中的应用价值。
Objective to explore applicability of tri dimensional auto regression trend surface model in studying the space time dynamic of disease.
本文根据现场实测巷道围岩位移量测信息，利用灰色GM(1,1)模型预测巷道位移未来的发展趋势，达到预测、预报巷道变形的目的。
According to field information, this paper USES GM (1, 1) to predict future displacement development tendency, so forecasting and predicting deformation is easy to obtain.
掌握电力负荷特性的变化规律和发展趋势是建立负荷预测模型的关键。
Grasping the change rule and trend of power load characteristic is the key to establish load forecasting model.
提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。
This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.
该模型可以较好的预测SARS的发展趋势，且可以就此趋势提出如何控制SARS传播的措施。
This model well forecasts the spreading trend of SARS, according to which proper advices can be put forward on controlling policies.
实际预测结果表明，该模型精度高，能够根据历史数据较为准确地预测出下料量的变化趋势。
The prediction result shows that the model has high accuracy and can predict the discharge rate's tendency based on historical data accurately.
实际预测结果表明，该模型精度高，能够根据历史数据较为准确地预测出下料量的变化趋势。
The prediction result shows that the model has high accuracy and can predict the discharge rate's tendency based on historical data accurately.
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