Research Article
Back Propagation Neural Network Model for Predicting the Performance of Immobilized Cell Biofilters Handling Gas-Phase Hydrogen Sulphide and Ammonia
Table 4
Weights and bias terms obtained after network training.
(a) Input to hidden layer weights |
| | | |
| Unit flow, per min | −6.61 | −8.00 | Concentration, ppmv | 2.49 | −26.6 | Bias term | −8.19 | 1.95 |
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: Weights between neurons in input layer and hidden layer.
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(b) Hidden to output layer weights |
| | RE, % |
| | 1.56 | | 2.28 | Bias term | −1.03 |
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: Weights between neurons in hidden layer and output layer.
|