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.

• 这种新方法把对混沌时间序列的参数估计和滤波看作是一种最小化过程，并利用了最速梯度下降方法解决。