This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
In order to improve the prediction accuracy of iron ore consumption, using a time series forecasting method based on intelligent calculation.
为了提高铁矿石消费量的预测精度，采用一种基于智能计算的时间序列预测方法。
In the study of time series forecasting in ground states, the method for recognition and processing singular values is proposed, then LS-SVM is applied to forecast.
针对基态趋势客流预测问题，研究了进行奇异值检测处理并运用最小二乘支持向量机进行预测的解决方案。
Moving average method is one of time series forecasting method, if time series have no apparent tendency moving, using moving average method can accurately reflect actual situation.
移动平均法是一种时间序列预测法，当时间序列没有明显的趋势变动时，使用移动平均就能够准确地反映实际情况。
Time series forecasting models of total food-grain consumption in China were selected by using SPSS, and were built based on the correlative relationship between quantity of consumption and time.
利用粮食消费量与时间之间的相关关系，采用SPSS程序包进行筛选，建立我国食用粮食消费总量的时序预测模型。
Aim To construct a new time-series forecasting model based on neural network with the capability of noise immunity.
目的建立一种新的具有抗噪声能力的神经网络时间序列预测模型。
A new neural tree for modeling the time-series forecasting is proposed in the paper.
提出了一种新的神经树模型来进行时间序列预测。
A new neural tree for modeling the time-series forecasting is proposed in the paper.
提出了一种新的神经树模型来进行时间序列预测。
应用推荐