Research on financial network big data processing technology based on fireworks algorithm

EURASIP Journal on Wireless Communications and Networking

Table 1 Part of the forecasting values and relative errors of each model

	Real data (%)	QFA-SVM		SVM		BPNN		MLRM
	Real data (%)	Prediction	Error%	Prediction	Error%	Prediction	Error%	Prediction	Error%
1	11.67	11.84	1.46	11.29	− 3.26	11.21	− 3.94	11.28	− 3.34
2	12.49	12.23	− 2.08	11.89	− 4.80	11.97	− 4.16	13.2	5.68
3	11.67	11.42	− 2.14	11.39	− 2.40	12.02	3.00	10.94	− 6.26
4	10.65	10.83	1.69	10.13	− 4.88	11.31	6.20	11.03	3.57
5	9.8	9.98	1.84	10.19	3.98	10.32	5.31	9.23	− 5.82
6	10.67	10.44	− 2.16	10.29	− 3.54	10.16	− 4.78	11.29	5.81
7	10.14	10.42	2.76	10.62	4.73	10.46	3.16	10.84	6.90
8	11.29	11.46	1.51	10.89	− 3.54	11.8	4.52	10.76	− 4.74
9	12.01	12.24	1.92	11.6	− 3.41	12.42	3.41	11.26	− 6.24
10	12.39	12.62	1.86	11.84	− 4.44	12.97	4.68	11.64	− 6.05
MAPE			2.02		3.85		4.41		5.28
RMSE			2.05		3.94		4.50		5.38