The Power Market Clearing Price Forecasting Based on RBF Network;
电力通过低压网络发送的附属站。
The research trend of cost forecasting based on gray system is put forwarded.
对建设工程造价灰色预测问题进一步的研究方向进行了展望。
River system flood forecasting based on artificial neural network of radial basis function;
小花间暴雨洪水预警预报系统是“数字黄河”工程的首项工程。
Results show that the quality control is critical to the forecasting based on the rational designed function.
结果显示，在合理的泛函设计的基础上，质量控制的好坏直接影响预报结果。
This paper presents a new algorithm for short term load forecasting based on the deterministic annealing technique.
首次将确定性退火方法用于短期负荷预测领域。
Finally, the combination forecasting based on meta-learning is introduced which ensure that the weight coefficient between 0 and 1.
最后，引入了基于元学习理论的组合预测，确保权重系数在0到1之间。
The result of predicting experiment proved that the improved power load forecasting based on time series was more efficient and more accurate.
实验证明该方法提高了电力负荷时序预测的速度和准确度。
At last the method of combination forecasting based on function of fresh degree is applied and the precision of prediction is further improved.
最后利用基于新鲜度函数的变权重组合预测方法对预测结果进行组合预测，进一步提高了预测精度。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
The control principle and particular method of vibration stimulated by itself were researched according to the forecasting based on specific machine tool.
针对具体机床，论述了运用预测控制方法进行自激振动控制的原理及具体实现方法。
According to the characteristics of heat supply and the demands of energy-saving control, heat load forecasting based on RBF neural network and time series crossover is proposed.
针对供热过程的特点及节能控制的需要，提出基于RBF神经网络的时间序列交叉供热负荷预报法。
Compare to them, the result was that the nonlinear combinatorial forecasting method applying to the runoff forecasting based on the wavelet network can improve the forecast precision.
又小波网络较神经网络有更多的优点，通过比较，证实基于小波网络的非线性组合预测方法用于径流预报中更能提高预测的精度。
To forecast fatigue strength or fatigue life of the bogie frame of a high-speed train effectively, a method for fatigue strength forecasting based on tested spectrum loads was proposed.
为了有效地预测高速列车转向架构架的疲劳强度或寿命，提出了一种基于试验谱载荷的疲劳强度预测方法。
Aiming at the features of medium and long-term load forecasting, a comprehensive model for medium and long-term load forecasting based on Analytic Hierarchy Process (AHP) was put forward.
针对中长期电力负荷预测特点，提出了一种基于AHP(层次分析法)的中长期电力负荷预测综合模型。
The volatility of load time series is analyzed, and the short-term load forecasting based on SV(Stochastic Volatility) models is presented with the consideration of the time-varying characteristics.
研究了负荷时间序列波动性，考虑方差时变特征，提出了基于随机波动（SV）模型的短期负荷预测方法。
Dr Wolfe, the director of California-based firm Global Viral Forecasting, has recently acted as a consultant for the new movie Contagion, starring Kate Winslet and Gwyneth Paltrow.
沃尔夫博士是总部位于加州的全球病毒预报机构的负责人，最近他为新电影《传染病》担任了顾问，这部电影是由凯特•温丝莱特和格温妮丝·帕特洛主演的。
The chaotic forecasting of power load is based on reconstructing phase space of the power load series.
电力负荷的混沌预测是建立在重构电力负荷序列的相空间基础之上的。
The features of coke oven flue temperature are analyzed, and a highly accurate soft-sensing model based on error forecasting is established to measure the coke oven flue temperature on-line.
针对焦炉火道温度在线检测的问题，在分析焦炉火道温度特性的基础上，建立了一种基于误差预测的高精度焦炉火道温度软测量模型。
This paper established the yield and conflux forecasting scheme of reservoir flood based on analyzing error generation characteristics of Zhanghe reservoir flood.
在分析漳河水库入库洪水误差特点的基础上，建立了入库洪水产汇流预报方案。
Forecasting - Analyze and predict future outcomes based on historical patterns.
基于对历史的模式预测-分析和预测未来的结果。
Paul Edwards, chairman of the London-based Henley Centre forecasting group, points out that the feeling of pressures can also be exaggerated, or self-imposed.
总部设在伦敦的亨利中心预测小组组长保罗·爱德华兹指出，压力感也可能被夸大，或者被强加于自身。
In application of neural networks based short-term load forecasting model, the main problems are over many training samples, thus resulting long training time and slow convergence speed.
在神经网络负荷预测实际应用中，突出的问题是训练样本大、训练时间长、收敛速度慢。
According to the building of CBR system, we analyzed and demonstrated the project of fruit diseases forecasting system based on the Case-Based Reasoning and implemented every function module.
围绕CBR系统的构建，分析论证了基于案例推理的果树病害预测系统平台的设计方案，实现了各模块功能。
The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.
这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠，而且计算量小、相对容易操作。
This paper discusses how to using model forecasting technology based on multidimensional data structure appropriately.
本文讨论了在多维数据结构的基础上，如何使用合适的模型预测技术的问题。
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.
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。
Then, we realize classification modeling and forecasting test based on SVM.
然后基于支持向量机进行分类建模和预测。
Then, we realize classification modeling and forecasting test based on SVM.
然后基于支持向量机进行分类建模和预测。
应用推荐