基于神经网络的联合混沌时间序列的预测研究
기우신경망락적연합혼돈시간서렬적예측연구
Study of Predicting Combined Chaotic Time Series Using Neural Networks
  • 万方数据
    光电子·激光 광전자·격광
    JOURNAL OF OPTOECTRONICS·LASER
    2004年 10期 1225-1228,1233 ,共5页

    王兆霞%陈增强%袁著祉%郝庭柱%杨保和

    왕조하%진증강%원저지%학정주%양보화

    联合混沌时间序列%BP算法%前馈神经网络%时间序列预测 聯閤混沌時間序列%BP算法%前饋神經網絡%時間序列預測
    연합혼돈시간서렬%BP산법%전궤신경망락%시간서렬예측
    combined chaotic time series%back-propagation(BP) algorithms%feed-forward neural networks%time series prediction
    提出了利用前馈神经网络预测联合混沌序列,通过引用著名的Henon和Lozi混沌系统作为仿真实验产生联合混沌信号序列.预测结果证明,用改进的BP算法训练的NN可以完全预测联合混沌信号序列.
    제출료이용전궤신경망락예측연합혼돈서렬,통과인용저명적Henon화Lozi혼돈계통작위방진실험산생연합혼돈신호서렬.예측결과증명,용개진적BP산법훈련적NN가이완전예측연합혼돈신호서렬.
    The combined chaotic time series prediction by using the standard feed-forward neural networks.Henon and Lozi systems are used to generate the combined chaotic time series.From the forecasting results obtained,it can be concluded that the NN,which is trained by improved back-propagation(BP) algorithms,can be well applicable for combined chaotic time series prediction.
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