A Study on Stock Graph Recognition Based on Wavelet Denoising and DTW Algorithm

Table 3

Hard threshold.

	Layers	1	2	3	4	5	6	7
Figure 1	IER	1.000053	1.000136	1.000007	0.999998	0.999818	0.999804	0.999855
	IEE	0.202496	0.283091	0.428215	0.450692	0.463871	0.476480	0.485991
	s	13.53791	22.83471	39.61283	44.95648	38.71361	28.72435	16.53761
Figure 2	IER	1.000034	1.000047	0.999931	0.999923	0.999714	0.999738	0.998976
	IEE	0.228416	0.305499	0.343774	0.389739	0.395459	0.397032	0.423563
	s	14.19504	21.59701	37.90262	46.37774	40.63924	24.07936	15.33218
Figure 3	IER	0.999990	1.000009	0.999993	0.999935	0.999904	0.999718	0.999476
	IEE	0.349785	0.368139	0.405443	0.408998	0.420211	0.424952	0.436943
	s	15.20355	22.23524	40.21399	46.11387	38.44541	23.07473	18.85263
Figure 4	IER	1.000042	1.000036	0.999997	0.999947	0.999857	0.999844	0.999837
	IEE	0.208219	0.243726	0.304472	0.320692	0.348696	0.377230	0.381473
	s	22.30446	35.93901	37.28737	48.33225	39.09336	26.44241	24.57120
Figure 5	IER	1.000142	1.000007	1.000005	0.999994	0.999971	0.999522	0.999473
	IEE	0.239648	0.238462	0.241003	0.378103	0.380470	0.392062	0.394378
	s	18.44058	28.11498	32.09637	42.04788	37.49007	22.32213	17.15010