Research Article
Review on Methods to Fix Number of Hidden Neurons in Neural Networks
Table 4
Statistical analysis of various criteria for fixing number of hidden neurons in Elman network.
| Considered criteria for fixing number of hidden neurons | no. of hidden neurons | MSE | MRE | MAE |
| | 6 | 0.1329 | 0.0158 | 0.1279 | | 46 | 0.0473 | 0.0106 | 0.0858 | | 12 | 0.0783 | 0.0122 | 0.099 | | 31 | 0.0399 | 0.0117 | 0.0944 | | 52 | 0.0661 | 0.0106 | 0.0862 | | 43 | 0.0526 | 0.0113 | 0.0917 | | 76 | 0.0093 | 0.0084 | 0.0684 | | 26 | 0.083 | 0.0135 | 0.1097 | | 77 | 0.0351 | 0.008 | 0.065 | | 14 | 0.0361 | 0.0116 | 0.094 | | 27 | 0.0388 | 0.086 | 0.0701 | | 62 | 0.0282 | 0.0055 | 0.0444 | | 33 | 0.0446 | 0.0096 | 0.0778 | | 53 | 0.0447 | 0.0097 | 0.0782 | | 1 | 0.1812 | 0.0239 | 0.1937 | | 75 | 0.017 | 0.0057 | 0.0462 | | 25 | 0.0299 | 0.0105 | 0.0853 | | 10 | 0.1549 | 0.0153 | 0.1238 | | 34 | 0.0414 | 0.0105 | 0.0854 | | 81 | 0.0285 | 0.0065 | 0.0526 | | 101 | 0.0697 | 0.0069 | 0.0561 | | 45 | 0.0541 | 0.01 | 0.0813 | | 28 | 0.038 | 0.0112 | 0.0904 | | 32 | 0.028 | 0.0105 | 0.0848 | | 24 | 0.0268 | 0.009 | 0.0727 | | 54 | 0.0155 | 0.0086 | 0.0695 | | 44 | 0.0599 | 0.0112 | 0.0907 | | 63 | 0.0324 | 0.0094 | 0.0758 | | 74 | 0.0208 | 0.0109 | 0.0881 | | 13 | 0.1688 | 0.0167 | 0.1349 | | 64 | 0.0359 | 0.0133 | 0.1079 | | 100 | 0.0194 | 0.0058 | 0.0472 | | 55 | 0.0618 | 0.0166 | 0.1342 | | 2 | 0.217 | 0.028 | 0.2272 | | 29 | 0.0457 | 0.008 | 0.0651 | | 11 | 0.0547 | 0.0118 | 0.0959 | | 65 | 0.0232 | 0.0098 | 0.0798 | | 66 | 0.0155 | 0.006 | 0.0487 | | 78 | 0.0171 | 0.0086 | 0.0697 | | 35 | 0.1005 | 0.0138 | 0.116 | | 15 | 0.0838 | 0.0109 | 0.088 | | 82 | 0.0293 | 0.0061 | 0.0497 | | 96 | 0.0295 | 0.0106 | 0.0859 | | 79 | 0.072 | 0.009 | 0.0731 | | 16 | 0.0588 | 0.0115 | 0.0934 | | 30 | 0.0831 | 0.0115 | 0.0935 | | 67 | 0.037 | 0.0079 | 0.0636 | | 47 | 0.0527 | 0.0097 | 0.0784 | | 56 | 0.0157 | 0.0093 | 0.0755 | | 36 | 0.0188 | 0.0117 | 0.0948 | | 86 | 0.0236 | 0.0132 | 0.1066 | | 3 | 0.1426 | 0.0218 | 0.1763 | | 87 | 0.0118 | 0.0064 | 0.0519 | | 97 | 0.0319 | 0.01 | 0.0813 | | 5 | 0.1339 | 0.0208 | 0.1685 | | 57 | 0.021 | 0.0078 | 0.0629 | | 68 | 0.0249 | 0.0081 | 0.0654 | | 17 | 0.039 | 0.0114 | 0.0925 | | 80 | 0.0558 | 0.0098 | 0.0797 | | 58 | 0.0283 | 0.0079 | 0.064 | | 69 | 0.1152 | 0.0127 | 0.1028 | | 18 | 0.0437 | 0.0094 | 0.0759 | | 98 | 0.0283 | 0.0079 | 0.064 | | 42 | 0.0136 | 0.0099 | 0.0806 | | 61 | 0.0249 | 0.0101 | 0.082 | | 71 | 0.0162 | 0.0077 | 0.0623 | | 23 | 0.1142 | 0.0156 | 0.1264 | | 8 | 0.0894 | 0.0142 | 0.1149 | | 89 | 0.0202 | 0.01 | 0.0808 | | 40 | 0.0163 | 0.0102 | 0.083 | | 50 | 0.0184 | 0.0092 | 0.0744 | | 90 | 0.0188 | 0.0049 | 0.0395 | | 41 | 0.0329 | 0.0118 | 0.0957 | | 91 | 0.0405 | 0.0071 | 0.0573 | | 94 | 0.0258 | 0.0127 | 0.1028 | | 22 | 0.049 | 0.0088 | 0.0713 | | 4 | 0.0723 | 0.0118 | 0.0954 | | 51 | 0.0278 | 0.009 | 0.0728 | | 60 | 0.035 | 0.0106 | 0.0861 | | 37 | 0.0198 | 0.0078 | 0.0633 | | 88 | 0.0336 | 0.008 | 0.0648 | | 21 | 0.1008 | 0.0134 | 0.1089 |  + 3/  − 8 | 39 | 0.018 | 0.0049 | 0.04 | | 49 | 0.0636 | 0.0095 | 0.077 | | 92 | 0.0332 | 0.011 | 0.089 | | 9 | 0.1091 | 0.0123 | 0.1 | | 84 | 0.0169 | 0.009 | 0.0727 | | 95 | 0.0103 | 0.0064 | 0.0517 | | 85 | 0.0293 | 0.0104 | 0.0842 | | 72 | 0.0209 | 0.0091 | 0.0739 | | 38 | 0.0735 | 0.0101 | 0.0815 | | 19 | 0.0771 | 0.0125 | 0.101 | | 59 | 0.0422 | 0.0101 | 0.0815 | | 70 | 0.0366 | 0.0083 | 0.067 | | 7 | 0.0727 | 0.0161 | 0.1301 | | 48 | 0.0183 | 0.0118 | 0.0958 | | 83 | 0.0407 | 0.0092 | 0.0747 | | 73 | 0.0493 | 0.0089 | 0.0721 | | 20 | 0.142 | 0.0157 | 0.1271 | | 93 | 0.0133 | 0.0093 | 0.0753 | | 99 | 0.0377 | 0.012 | 0.0971 |
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