高级检索

    模糊神经网络在时间序列预测中的应用

    APPLICATION OF FUZZY NEURAL NETWORKS TO THE PREDICTION OF TIME SERIES

    • 摘要: 文中提出了将模糊聚类与梯度算法相结合的一种改进的训练模糊神经网络的混合型算法.模拟结果表明,模糊神经网络可以成功地用于时间序列的预测,模糊神经网络的训练速度与模拟精度都优于传统多层BP网络.

       

      Abstract: An improved learning algorithm is proposed,which integrates fuzzy cluster with gradient algorithm to train fuzzy neural networks.The simulated results show that fuzzy neural networks can be successfully applied to the prediction of time series and that both training speed and simulated precision of fuzzy neural networks are better than those of traditional multilayer BP networks.

       

    /

    返回文章
    返回