Research Article
Back Propagation Neural Network Model for Predicting the Performance of Immobilized Cell Biofilters Handling Gas-Phase Hydrogen Sulphide and Ammonia
Table 1
Basic statistics of the training data set.
| Variable | Basic statistics | | Mean | Std deviation | Minimum | Maximum | Sum square |
| Inputs | | | | | | | Unit flow, per min | 102 | 1.46 | 0.36 | 0.93 | 2.46 | 148.92 | Concentration, ppmv | 102 | 57.92 | 27.84 | 10 | 150 | 5908 |
| Outputs | | | | | | | RE, % | 102 | 94.33 | 9.69 | 52.5 | 100 | 9621.8 |
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