Research Article
Prediction of Materials Density according to Number of Scattered Gamma Photons Using Optimum Artificial Neural Network
Table 4
Prediction of materials according to number of detected photons using first ANN.
| Prediction of materials | Number of detected photons (#) | Density of material (g/cm3) |
| Water | 5478 | 1 | Sulfuric acid | 8778 | 1.840 | Bone | 8811 | 1.85 | Salt | 10190 | 2.200 | Carbon | 11512 | 2.60 | Granite | 11629 | 2.650 | Sand | 12080 | 2.800 | Tin | 19867 | 7.30 | Brass | 20944 | 8.40 | Nickel | 21316 | 8.80 | Silver | 22865 | 10.40 | Lead | 23794 | 11.30 |
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