Combining LSTM Network Ensemble via Adaptive Weighting for Improved Time Series Forecasting

Table 1

Description of the four different time series datasets [18] used in our experimentation.

Time Series	Type	Total size	Training size	Validation size	Testing size
River flow	Stationary, nonseasonal	600	360	90	150
Vehicles	Nonstationary, nonseasonal	252	151	38	63
Wine	Monthly seasonal	187	112	29	46
Airline	Monthly seasonal	144	86	22	36