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- 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。
- 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.
- 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。
- 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.
- 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.
- To the difficulty of expression of the temporal accumulation in the time series using conventional time series prediction methods, a time series prediction method based on process neural network is proposed. 摘要针对传统时间序列预测方法难以表达时间序列中时间累积效应的缺陷，提出一种基于过程神经网络的时间序列预测方法。
- Applied a novel machine learning algorithm-least squares support vector machines (LSSVM) into coal washery daily water consumption times series prediction. 摘要针对选煤厂日用水量时间序列的预测问题，提出应用最小二乘支持向量机(LSSVM)这一新的机器学习方法来实现日用水量的短期预测。
- seawater temperature time series prediction 海水温度时间序列预测
- nonlinear time series prediction 非线性时间序列预测
- 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。
- Ridge regression learning in ESN for chaotic time series prediction ESN岭回归学习算法及混沌时间序列预测
- A Study of Time Series Prediction Method in Heat Supply Control 时间序列预报法在供热控制中的应用研究
- Time Series Prediction by Multivariate Next Neighbor Methods 多变量时间序列的邻域预测法
- neural network time series predictor 神经网络预测器
- The Model of Time Series Prediction of the Number of the Tourists in Guilin 桂林市旅游人数的时间序列预测模型
- 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
