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Table 5 Performance analysis of the proposed model with various hidden neurons

From: Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network

S. No Hidden neurons MSE MAPE RMSE MAE MRE
1 1 3.5571 20.7127 1.8860 1.6104 0.2071
2 3 0.1279 2.7643 0.3577 0.2240 0.0276
3 5 0.0255 0.6760 0.1597 0.0548 0.0068
4 8 1.0314e-04 0.0819 0.0102 0.0068 8.1939e-04
5 10 0.0077 0.6401 0.0879 0.0534 0.0064
6 12 1.1866e-08 7.1056e-04 1.0893e-04 5.5245e-05 7.1056e-06
7 14 1.0610e-08 3.4082e-04 1.0301e-04 2.7612e-05 3.4082e-06
8 16 0.0089 0.7797 0.0944 0.0650 0.0078
9 20 4.0350e-05 0.0172 0.0064 0.0014 1.7164e-04
10 23 1.3678e-04 0.0377 0.0117 0.0031 3.7663e-04
11 25 1.5602e-09 2.8722e-04 3.9499e-05 2.2331e-05 2.8722e-06
12 28 2.7572e-04 0.0522 0.0166 0.0042 5.2163e-06
13 32 1.5323e-09 2.3008e-04 3.9145e-05 1.8640e-05 2.3008e-06
14 34 6.5638e-09 5.3788e-05 8.1017e-05 4.1820e-05 5.3788e-07
15 36 1.3931e-08 8.8433e-04 1.1803e-04 6.8755e-05 8.8433e-06
16 40 1.9713e-08 9.5805e-04 1.4040e-04 7.7617e-05 9.5805e-06
17 42 3.3233e-04 0.0323 0.0182 0.0026 3.2299e-04
18 44 1.6166e-12 1.0165e-05 1.2715e-06 8.2352e-07 1.0165e-07
19 46 1.9161e-07 8.6964e-04 4.3774e-04 7.0454e-05 8.6964e-06
20 50 0.0012 0.0512 0.0346 0.0041 5.1218e-04