Research Article

Forecasting of Musical Equipment Demand Based on a Deep Neural Network

Table 2

Comparison with other methods.

MethodMED2MED2
RMSEMAERMSEMAE

SVR30.524.727.821.2
BP25.619.822.518.2
RNN19.316.617.415.3
LSTM15.612.914.811.7
ILSTM12.310.410.99.1