The result of experiment and simulation indicates the controlling method using ANN prediction model combined with static equation meets the requirement of controlling greenhouse environment.
仿真与实验结果表明，神经网络预测模型与静态方程相结合的控制方法满足温室环境温度控制需求。
A combined stochastic user equilibrium model for simultaneous prediction of trip distribution and trip assignment on large-scale networks is developed.
提出了适用于大规模网络的组合随机用户平衡模型，能够同时预测出行分布和交通分配。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
Under the condition of small and unstable data, the combined prediction value is superior to the single grey model.
在数据较少或变形数据变化较大时，组合模型预测值明显优于单一模型预测值。
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.
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。
Meanwhile, prediction model of underground deformation and predicting method of deformation for special geological factor is deduced under combined mining with random medium theory.
同时应用随机介质理论，推导出复合采动影响下地面变形的预测模型和特殊地质条件下变形的预测方法。
In the paper, a combined prediction model is set up by use of the parametric optimization method with optimum weight. The model is used to study the vertical displacement of a power plant.
采用最优加权法配合参数优化建立组合预测模型，对某电站厂房机组平台作垂直位移分析。
Thus the combined model is of great theoretical and practical significance to China's energy demand prediction.
这对于我国能源需求预测有着重要的理论意义和现实意义。
Combined with the example, examined the prediction model used to improve the effectiveness and feasibility of the short-term forecast landslide.
并结合实例检验了改进的预测模型用于滑坡短期预报的有效性、可行性。
These two models are combined as the total phosphorus prediction model of channel reservoir.
这两个模型联合起来构成了河道型水库总磷预测模型。
To improve the precision and efficiency of rolling force prediction on tandem cold rolling mill, a neural network model combined with ant colony algorithm is presented.
为提高冷连轧机轧制力的预报精度和预报速度，用蚁群算法和神经网络相结合的方法进行轧制力预报模型设计。
The Result of theoretical prediction on biodegradation pathway for organic compounds was combined with the choice of compounds for QSBR model in this paper.
本文把有机污染物生物降解途径理论预测的结果与QSBR模型中化合物选择相结合。
The combined use of above method and the metabolic fractal interpolation forecasting model provides new idea and new method for improving the runoff prediction precision.
并将该方法与新陈代谢分形插值预测模型结合使用，为有效提高径流预测精度提供了新思路和新方法。
Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.
针对BP人工神经网络所存在的缺陷，结合差异演化算法，提出了基于DE - BP神经网络的旅游客源预测模型。
The numerous existing methods for prediction of oil and gas production were reviewed, and a multi-model combined forecast method based on fresh degree function was developed.
在总结前人产量预测方法的基础上，提出了基于新鲜度函数的多模型组合预测油气产量的方法。
Take Lushui mining area as an example, the prediction method of landslide is obtained combined with historical data analysis to determine the critical value of universal prediction model.
以潞水矿区为例，结合历史资料分析确定通用预报关系中的临界值，得到具体的滑坡灾害气象预报方法。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.
将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测，为原始非平稳时间序列的预测应用拓展了空间。
The BP network model of prediction of gas gushing quantity for combined mining faces is established by means of BP network method of ANN theory. The error analysis and practical use show that co…
通过误差分析及实际应用，证明将关联分析与BP网络结合起来开展采面瓦斯涌出量预测是一种可行的方法。
Vibration amplitude of steam turbine is affected by operation parameters and random factors, the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.
针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点，提出了用人工神经网络中的递推合成BP网络对汽轮机的振动故障进行多因素预测。
And then the combined prediction model of the Observed data is formed, which consider the correlation of the variable with the other variable and self-dependency of the variable itself fully.
然后，充分考虑观测数据和其它变量的相关关系以及数据自身依赖关系，建立了观测数据序列的混合模型。
The prediction results show that the combined model is feasible and effective.
实例验证表明，该途径是可行而有效的。
Combined with fuzzy comprehensive evaluation to establish a risk prediction model, and an empirical were give...
结合模糊综合评价理论建立风险等级评价模型，并用实例验证了模型的有效性。
Combined with fuzzy comprehensive evaluation to establish a risk prediction model, and an empirical were give...
结合模糊综合评价理论建立风险等级评价模型，并用实例验证了模型的有效性。
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