Hybrid Models for Weather Parameter Forecasting

Table 6

Comparison of errors and time taken for maximum temperature, Mumbai and Chennai.

Methods	Mumbai					Chennai
	TT	MAE	RMSE	RAE	RRSE	TT	MAE	RMSE	RAE	RRSE
RBF	0.36	0.48	0.61	70.62	71.12	0.66	1.99	2.19	42.51	46.88
W-RBF	0.22	0.89	0.12	89.22	136.74	0.87	1.97	1.08	44.40	46.80
N-RBF	0.28	0.78	1.03	68.39	67.26	0.28	1.41	1.07	45.24	46.88
W-N-RBF	0.14	0.77	0.11	58.39	58.87	0.14	1.02	1.06	38.14	45.72
SMO	0.32	0.04	0.07	65.87	96.46	0.37	2.01	3.86	55.54	59.56
W-SMO	0.23	0.45	0.61	89.87	70.68	0.43	2.74	3.47	59.07	61.33
N-SMO	0.28	0.73	1.02	63.94	66.82	0.88	2.78	3.32	63.10	49.12
W-N-SMO	0.26	0.75	1.20	62.85	68.64	0.96	2.79	3.45	61.97	56.91
LibSVM	0.38	0.99	0.99	99.70	102.56	0.58	2.99	3.50	92.89	121.84
W-LibSVM	1.75	0.89	1.99	98.45	100.32	1.75	2.78	3.46	102.45	101.85
N-LibSVM	1.82	0.87	1.97	99.54	100.99	1.92	2.89	3.45	100.99	101.55
W-N-LibSVM	1.07	0.91	1.09	101.23	99.63	1.07	2.01	3.44	100.19	99.43