Research Article
Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network
Table 3
The data that were used for training the network and predicted number of produced neutrons by ANN.
| Discharge current (mA) | Voltage (kV) | Produced neutron (×106) | Predicted neutron (×106) | Difference |
| 20 | 30 | 0.055164 | 0.0552 | | 20 | 40 | 0.364079 | 0.3641 | | 20 | 60 | 2.846438 | 2.8464 | | 20 | 70 | 4.468245 | 4.4682 | | 30 | 40 | 0.358563 | 0.3667 | | 30 | 50 | 1.152918 | 1.2269 | | 30 | 60 | 3.033994 | 3.0024 | 0.031594 | 40 | 30 | 0.052405 | 0.0584 | | 40 | 50 | 1.130852 | 1.1437 | | 40 | 60 | 3.072608 | 3.0582 | 0.014408 | 50 | 30 | 0.042476 | 0.0469 | | 50 | 50 | 1.125336 | 1.0738 | 0.051536 | 50 | 70 | 5.95766 | 6.1068 | | 60 | 40 | 0.292367 | 0.2832 | 0.0091667 | 60 | 50 | 1.10327 | 1.0192 | 0.08407 | 60 | 70 | 6.729949 | 6.5857 | 0.144249 | 70 | 30 | 0.027582 | 0.029 | | 70 | 50 | 0.926747 | 0.9802 | | 70 | 60 | 3.199484 | 3.155 | 0.044484 | 80 | 30 | 0.017652 | 0.0214 | | 80 | 40 | 0.248236 | 0.2421 | 0.0061358 | 80 | 60 | 3.089157 | 3.1426 | | 80 | 70 | 7.060931 | 7.0959 | | 90 | 40 | 0.24272 | 0.2172 | 0.0255195 | 90 | 50 | 0.910198 | 0.9312 | | 90 | 60 | 3.056059 | 3.0759 | | 100 | 30 | 0.012136 | 0.0121 | | 100 | 40 | 0.171007 | 0.1823 | | 100 | 60 | 2.923667 | 2.8965 | 0.027167 | 100 | 70 | 6.840276 | 6.8374 | 0.002876 | 50 | 75 | 7.99871 | 7.988 | 0.01071 | 96 | 77 | 11.80499 | 11.8062 | | 55 | 77 | 11.25336 | 11.2547 | | 26 | 81 | 7.722893 | 7.7191 | 0.003793 | 75 | 82 | 13.51506 | 13.513 | 0.002062 | 48 | 82 | 14.61833 | 14.6195 | |
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