Application of Extreme Learning Machine Algorithm for Drought Forecasting

Table 8

Pearson’s correlation coefficient between the observed and predicted values of SPTI 1–12 month time scales using ELM, MLP, and ARIMA algorithms at selected meteorological stations.

Scale	Astore			Chhor			Chitral			Kalat			Kohat			Mianwali			Multan			Muzaffarabad			Sialkot
	ELM	MLP	ARIMA	ELM	MLP	ARIMA	ELM	MLP	ARIMA	ELM	MLP	ARIMA	ELM	MLP	ARIMA	ELM	MLP	ARIMA	ELM	MLP	ARIMA	ELM	MLP	ARIMA	ELM	MLP	ARIMA
SPTI-1	0.87	0.59	0.56	0.86	0.62	0.54	0.93	0.74	0.69	0.86	0.63	0.52	0.84	0.48	0.39	0.88	0.59	0.43	0.84	0.41	0.32	0.84	0.56	0.48	0.88	0.66	0.60
SPTI-3	0.96	0.88	0.86	0.95	0.86	0.83	0.97	0.93	0.90	0.94	0.86	0.84	0.92	0.83	0.80	0.95	0.85	0.80	0.91	0.78	0.75	0.93	0.85	0.82	0.94	0.86	0.83
SPTI-6	0.96	0.94	0.90	0.96	0.92	0.88	0.97	0.96	0.93	0.95	0.93	0.91	0.94	0.90	0.87	0.94	0.91	0.87	0.93	0.89	0.89	0.93	0.89	0.86	0.95	0.92	0.89
SPTI-9	0.96	0.94	0.91	0.96	0.28	0.84	0.97	0.96	0.92	0.97	0.95	0.93	0.95	0.77	0.89	0.96	0.95	0.92	0.94	0.91	0.86	0.95	0.93	0.89	0.95	0.94	0.91
SPTI-12	0.96	0.95	0.96	0.95	0.93	0.95	0.94	0.94	0.95	0.98	0.97	0.98	0.96	0.95	0.96	0.97	0.96	0.97	0.77	0.92	0.93	0.95	0.94	0.95	0.95	0.93	0.94