Research Article
Prediction of Materials Density according to Number of Scattered Gamma Photons Using Optimum Artificial Neural Network
Table 7
Prediction of materials according to number of detected photons using second proposed ANN model.
| Prediction of materials | Number of detected photons (#) | Density of material (g/cm3) |
| Water | 5003 | 1 | Sulfuric acid | 8994 | 1.840 | Bone | 9035 | 1.85 | Salt | 10310 | 2.200 | Carbon | 11595 | 2.60 | Granite | 11738 | 2.650 | Sand | 12179 | 2.800 | Tin | 19854 | 7.30 | Brass | 20972 | 8.40 | Nickel | 21351 | 8.80 | Silver | 22684 | 10.40 | Lead | 23348 | 11.30 |
|
|