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- The experimental result indicates that the combined model has higher precision of prediction and better adaptability, compared with other single time series prediction models. 数据试验结果表明，与单一时间序列预测模型相比，该模型具有较高的预测精度和很好的模型适应性。
- Wavelet network-based non-linear economic time series prediction model 基于小波网络的非线性经济时序预测模型
- time series prediction model 时间序列预测模型
- Based on the characteristics of distribution of SISE and theory of trend extrapolation of time series, we selected cubic polynomial predict model. 摘要基于SISE的分布特性和时间序列趋势外推理论，选择了三次多项大时间序列趋势外推模型预测SISE，结果表明该模型可行。
- In the reconstructed phase space, the equal-dimension and new information prediction model of coal washery daily water consumption time series was established based on LSSVM. 用微熵率法求得选煤厂日用水量时间序列的最佳嵌入维数和最佳延迟参数，重构相空间，建立了基于最小二乘支持向量机的选煤厂日用水量时间序列等维信息一步预侧模型。
- For forecasting the gyro drift tendency of a missile,a prediction model based on support vector regression is established taking the time series of gyro's drift as study object. 为了预测某导弹陀螺漂移趋势,以该陀螺漂移角速度时间序列为对象,建立了基于支持向量回归机的预测模型。
- Establishing of prediction network model in multiplayer feedforward neural network's time series prediction and the prediction design measures are discussed, based on BP network the stock data are forecasted. 通过对前馈神经网络时间序列数据预测网络模型的建立方法及预测方法讨论;基于BP网络对股票数据进行实际预测.
- A new method for time series prediction based on EMD and ANN is presented in this paper. 提出了一种新的时间序列预测方法:利用EMD分解法和神经网络进行信号预测。
- A new time series prediction method was put forward, based on fuzzy least square support vector machine (FLS-SVM). 摘要提出了一种基于隶属度模糊最小二乘支持向量机(FLS-SVM)的时间序列预测新方法。
- Simulations show these two methods are effective for chaotic time series prediction,including ... 仿真表明,两种模型均能有效预报舰船摇荡极短期运动。
- Aiming at time series with strong randomicity, the GM (1,1) prediction model considering slope amendatory is brought forward;such that the precision of the grey model is greatly advanced. 针对强随机性的边坡监测时间序列，提出了考虑斜率修正的灰色GM(1,1)预测模型，提高了灰色模型的建模精度。
- For the features of disc proportioning system's lag and discharge rate's fluctuation, applying time series analysis, a disc discharge rate prediction model based on AR model was set up. 针对原料场圆盘配料系统下料量检测滞后和料量随堆料机进退变化较大的特点,应用时间序列分析方法建立了基于AR模型的圆盘下料量预测模型。
- As a new type of recurrent neural network,echo state network(ESN) is applied to nonlinear system identification and chaotic time series prediction. ESN(回声状态网络)是一种新型的递归神经网络;可有效处理非线性系统辨识以及混沌时间序列预测问题.
- In order to reduce the expense of ANN training, we have developed a dynamic neural network (DNN) modeling method for online time series prediction. 如果每增加一个样本对神经网络重新训练，需要大量的计算时间。
- In the end of this paper, the experiment to apply FCP to time series prediction shows that FCP outperforms CP and RBF in learning precision and generalizaton ability. FCP在时间序列预测中的 应用表明;FCP不仅在学习精度上;而且在泛化能力方面较之CP和RBF均有较大的改善.
- In the end of this paper,the experiment to apply FCP to time series prediction shows that FCP outperforms CP and RBF in learning precision and generalizaton ability. FCP在时间序列预测中的应用表明，FCP不仅在学习精度上，而且在泛化能力方面较之CP和RBF均有较大的改善.
- The conclusion is that the time predictable model is more closer to the time series character history earthquakes than the slip predictable model. 结果表明，时间可预测模式比滑动可预测模式更接近胶辽海峡历史地震的时间序列特征。
- A prediction modelling method was proposed for non-linear and non-stationary time series,based on empirical mode decomposition(EMD) and support vector regression(SVR). 提出了一种基于经验模式分解和支持向量回归的非线性、非平稳时间序列预测建模方法。
- Prediction Model of Time Series By Smoothing Spline 利用样条函数建立季节性时间序列的预测模型
- Our prefetching method can combine ARIMA time series predictions and Markov model spatial predictions to adaptively determine when， what， and how many data blocks to be prefetched. 该模型可以将自回归、集成的移动平均时间预测模型与马尔可夫空间预测模型结合，并自适应地预测什么时间、取哪些数据块、取多少数据块。
