<span id="fpn9h"><noframes id="fpn9h"><span id="fpn9h"></span>
<span id="fpn9h"><noframes id="fpn9h">
<th id="fpn9h"></th>
<strike id="fpn9h"><noframes id="fpn9h"><strike id="fpn9h"></strike>
<th id="fpn9h"><noframes id="fpn9h">
<span id="fpn9h"><video id="fpn9h"></video></span>
<ruby id="fpn9h"></ruby>
<strike id="fpn9h"><noframes id="fpn9h"><span id="fpn9h"></span>

一種基于小波網絡的混沌時間序列判定

Judgment and Prediction Algorithm of Chaotic Time Series on Wavelet Neural Network

  • 摘要: 在對混沌時間序列與隨機序列的不同特征進行分析的基礎上,提出一種可對二者予以區分的判定算法.并結合具有優異特性的小波函數,構造一種小波神經網絡.最終給出基于小波網絡的集成的混沌時間序列判定一預測算法.

     

    Abstract: The deferent features are analyzed based on chaotic time series and stochastic series. A jud-gment algorithm has been put forward to distinguish the features of both chaotic time series and stochasitic series. A wavelet neural network is structured combining wavelet function and neural network. Finally an in-tegrated algorithm ofjudgment and prediction of chaotic time series has been published.

     

/

返回文章
返回
<span id="fpn9h"><noframes id="fpn9h"><span id="fpn9h"></span>
<span id="fpn9h"><noframes id="fpn9h">
<th id="fpn9h"></th>
<strike id="fpn9h"><noframes id="fpn9h"><strike id="fpn9h"></strike>
<th id="fpn9h"><noframes id="fpn9h">
<span id="fpn9h"><video id="fpn9h"></video></span>
<ruby id="fpn9h"></ruby>
<strike id="fpn9h"><noframes id="fpn9h"><span id="fpn9h"></span>
www.77susu.com