Research Article
Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network
Table 1
ANN designed parameters.
| Parameters | Value | Remarks |
| Number of inputs | 6 | WiFi, 3; WSN, 3 |
| Number of hidden layers | 2 | Log-Sigmoid activation function |
| Number of outputs | 2 | Linear activation function |
| Number of neurons in hidden layers | 15 | For layer 1 | 18 | For layer 2 |
| Learning rate () | 0.01 | Three learning rate is used for each layer |
| Momentum rate () | 0.6 | Three momentum rate is used for each layer |
| Target error (goal) | 0.001ām | ā |
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