Estimating Weak Pulse Signal in Chaotic Background with Jordan Neural Network

Algorithm 1

Jordan neural network estimation algorithm.

	Input: Observation sequence , the initial value of (), precision (0.00001).
	Output:
	Begin
	While ( is greater than the given precision);
	Step 1: For given , update the series by equation (9).
	Step 2: The phase point data set is obtained by normalizing and reconstructing with the embedding dimension and the time delay.
	Step 3: Based on (A) in Section 4.3.1 above, the Jordan neural network was trained to use the phase point data set .
	Step 4: is updated using the difference.
	End while
	Obtain the optimal to achieve the accuracy.
	End