prediction of time series meaning in English
时间序列预测
Examples
- According to the takens embedding theorem , the nonlinear time series is converted into discrete dynamic system . the prediction of time series is achieved by the observation of system states
将由系统的输入输出变量组成的非线性时间序列通过空间嵌入的方法转化为一个离散动态系统,通过对系统状态的观测实现时间序列的预测。 - Based on the statere configuration system , an unknown input observer is presented for the prediction of time series . the approximate error of the ar model is regarded as the unknown - input of system
以实时拟合时间序列的线性ar模型作为时变系统的已知线性部分,将拟合误差作为时变系统的未知输入,实现了系统状态的多步预测。 - The bic method generalized from ar model was adopted to determine the number of input neurons in grnn prediction model . the grnn was applied to single - step and multi - step ahead prediction of the vibration time series of a rotating machine , and its performance was compared with that of 3 - layers perceptrons network with error back propagation training algorithm ( bpnn ) . it is indicated that the grnn is more appropriate for prediction of time series than the bpnn , and the performance of grnn is qualified even with sparse sample data
研究了基于广义回归神经网络( grnn )的大型旋转机械振动状态预测，提出了应用bic准则确定grnn预测模型输入神经元数目的方法，将grnn用于大型机组振动峰?峰值时间序列的预测，与采用误差反向传播学习算法的三层前馈感知器网络( bpnn )的预测结果对比表明， grnn的预测性能优于bpnn ，而且，即使样本数据稀少，也能获得满意的预测结果。