Short-Term Passenger Flow Forecasting for Rail Transit considering Chaos Theory and Improved EMD-PSO-LSTM-Combined Optimization

Table 2

Optimal parameters of each subsequence after phase-space reconstruction.

Optimal parameters	IMF1	IMF2	IMF3	IMF4	IMF5	IMF6	RESn
Hidden nodes	172	184	126	150	200	139	100
Learning rate	0.0051	0.0010	0.0010	0.0010	0.0088	0.0010	0.0010
Number of iterations	30	30	30	30	30	30	30