Better Effectiveness of Multi-Integrated Neural Networks: Take Stock Big Data as an Example

Table 4

Expectation and standard deviation of models, accuracy, and error.

Model	Accuracy		Mean square error
	Mean	Standard deviation	Mean	Standard deviation
MLP	0.73756	0.075862	0.05546	0.036732
RNN	0.79318	0.036592	0.03173	0.011244
LSTM	0.78512	0.054487	0.03355	0.026722
GRU	0.78798	0.039606	0.02939	0.011710
Integration model (mean)	0.79393	0.027936	0.02919	0.008925
Integration model (learning)	0.74497	0.049791	0.05828	0.037212
Integration model (stacking)	0.80224	0.028740	0.02441	0.005195