The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs

Table 2

Predicted values and actual values.

Actual value/(mg/L)	Fit values/(mg/L)			Evaluation index
	Central value	Fuzzy amplitude	Interval range		/%	/%
1.3000	1.4234	0.1674	[1.2560, 1.5908]	0.26	9.49	12.88
1.5250	1.4376	0.1897	[1.2479, 1.6273]	0.54	5.73	12.44
3.1168	3.2198	0.3391	[2.8807, 3.5589]	0.70	3.30	10.88
2.9000	2.9297	0.3004	[2.6293, 3.2301]	0.90	1.02	10.36
3.1000	3.0101	0.3292	[2.6809, 3.3393]	0.73	2.90	10.62
3.7000	3.5301	0.4127	[3.1174, 3.9428]	0.59	4.59	11.15
3.7000	3.6085	0.3099	[3.2986, 3.9184]	0.70	2.47	8.38
2.5000	2.7006	0.3308	[2.3698, 3.0314]	0.40	8.02	13.23
1.8000	1.9335	0.2579	[1.6756, 2.1914]	0.48	7.42	14.33
3.2000	3.0964	0.2286	[2.5678, 3.3250]	0.55	3.24	7.14