Research Article
Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network
Table 4
The data that were used for testing the network and predicted number of produced neutrons by ANN.
| Discharge current (mA) | Voltage (kV) | Produced neutron (×106) | Predicted neutron (×106) | Difference |
| 20 | 50 | 1.130852 | 1.2495 | | 30 | 30 | 0.052957 | 0.0723 | | 30 | 70 | 4.964717 | 5.131 | | 40 | 40 | 0.34753 | 0.3329 | 0.01463 | 40 | 70 | 5.681843 | 5.6062 | 0.075643 | 50 | 60 | 3.166386 | 3.1047 | 0.061686 | 50 | 40 | 0.342014 | 0.3058 | 0.036214 | 60 | 30 | 0.035856 | 0.0373 | | 60 | 60 | 3.210517 | 3.1387 | 0.071817 | 70 | 40 | 0.28685 | 0.2629 | 0.02395 | 70 | 70 | 7.060931 | 6.955 | 0.105931 | 80 | 50 | 0.915714 | 0.9536 | | 90 | 30 | 0.014894 | 0.0133 | 0.001594 | 90 | 70 | 7.060931 | 6.9842 | 0.076731 | 100 | 50 | 0.904682 | 0.8952 | 0.009482 |
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