Table 8. Final ANN Model.

model	hidden layer	activation function	learning rate	accuracy	R-squared	MAPE
MODEL_16_RELU_001	16	rectified linear unit	0.001	97.37	0.9295	5.17889 × 1015
MODEL_32_RELU_001	32	rectified linear unit	0.001	96.49	0.8652	4.44169 × 1015
MODEL_64_RELU_001	64	rectified linear unit	0.001	96.49	0.8881	6.39251 × 1015
MODEL_16_RELU_01	16	rectified linear unit	0.01	98.25	0.9221	4.00522 × 1015
MODEL_32_RELU_01	32	rectified linear unit	0.01	97.37	0.8933	3.95053 × 1015
MODEL_64_RELU_01	64	rectified linear unit	0.01	96.49	0.8468	5.2234 × 1015
MODEL_16_RELU_1	16	rectified linear unit	0.1	98.25	0.9253	3.83913 × 1015
MODEL_32_RELU_1	32	rectified linear unit	0.1	99.12	0.9472	3.95053 × 1015
MODEL_64_RELU_1	64	rectified linear unit	0.1	98.25	0.9204	7.64719 × 1015
MODEL_16_SIGMOID_001	16	sigmoid	0.001	98.25	0.9395	5.10587 × 1015
MODEL_32_SIGMOID_001	32	sigmoid	0.001	98.25	0.9389	4.68787 × 1015
MODEL_64_SIGMOID_001	64	sigmoid	0.001	98.25	0.9429	5.88396 × 1015
MODEL_16_SIGMOID_01	16	sigmoid	0.01	98.25	0.9186	4.25863 × 1015
MODEL_32_SIGMOID_01	32	sigmoid	0.01	97.37	0.8958	4.45458 × 1015
MODEL_64_SIGMOID_01	64	sigmoid	0.01	95.61	0.8614	3.95082 × 1015
MODEL_16_SIGMOID_1	16	sigmoid	0.1	96.49	0.8941	6.76908 × 1015
MODEL_32_SIGMOID_1	32	sigmoid	0.1	95.61	0.9012	7.49245 × 1015
MODEL_64_SIGMOID_1	64	sigmoid	0.1	62.28	–0.0221	1.18047 × 1017
MODEL_16_TANH_001	16	tanH	0.001	98.25	0.9269	4.37625 × 1015
MODEL_32_TANH_001	32	tanH	0.001	98.25	0.9223	4.7321 × 1015
MODEL_64_TANH_001	64	tanH	0.001	97.37	0.9181	4.43677 × 1015
MODEL_16_TANH_01	16	tanH	0.01	98.25	0.9151	3.96107 × 1015
MODEL_32_TANH_01	32	tanH	0.01	97.37	0.888	3.9965 × 1015
MODEL_64_TANH_01	64	tanH	0.01	97.37	0.9058	3.95055 × 1015
MODEL_16_TANH_1	16	tanH	0.1	97.37	0.9047	3.98674 × 1015
MODEL_32_TANH_1	32	tanH	0.1	97.37	0.9143	6.5536 × 1015
MODEL_64_TANH_1	64	tanH	0.1	97.37	0.9148	9.68735 × 1015