Research Article
Aquaculture Prediction Model Based on Improved Water Quality Parameter Data Prediction Algorithm under the Background of Big Data
Table 2
BP neural network threshold and weight results obtained by GA optimizing BP neural network output.
| | Network layer type | Tier 1 | Tier 2 | Tier 3 | Tier 4 | Tier 5 | Tier 6 | Tier 7 |
| | Weights between input and hidden layers | -1.48648 | 0.01476 | 1.325956 | 0.93158 | 0.02403 | -0.02426 | -0.89025 | | Hidden layer node threshold | -0.62552 | 1.274165 | 1.74146 | -1.38956 | -1.26545 | / | / | | Weights between hidden and output layers | 0.282906 | -2.7065 | -1.67065 | 2.675564 | 2.695482 | / | / | | Output layer node threshold | 7.70154 | / | / | / | / | / | |
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