The new method treated the problem of parameter estimation and filtering for chaotic time series as a nonlinear minimisation process and solved it by using a steepest descent algorithm.

 
  • 這種新方法把對混沌時(shí)間序列的參數估計和濾波看作是一種最小化過(guò)程,并利用了最速梯度下降方法解決。
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