A Hybrid LSTM-Based Ensemble Learning Approach for China Coastal Bulk Coal Freight Index Prediction

Figure 6

Key parameter sensitivity analysis for LSTM-RF under three time scales: (a) daily, (b) weekly, and (c) monthly CBCFI forecasting.

(a)

(b)

(c)