AI Models with Input data, Architecture, and Training Quantities. A bias unit is added to the input and the hidden layers in the ANN. ReLu, Rectified Linear Unit, SGD, Stochastic Gradient Descent.
| AI models | Input data | Architecture | Training |
|---|---|---|---|
| ANN1 | Regional ionosphere coefficients Latitude, Longitude | Input layer: 27 neurons Output layer: 1 neuron Linear mapping | Optimizer: SGD Learning rate: 2e-1 Momentum: 0.9 Epochs: 400 Batch size: 300 |
| ANN2 | Regional ionosphere coefficients Latitude, Longitude | Input layer: 27 neurons Hidden layer 1: 10 neurons Hidden layer 2: 10 neurons Hidden layer 3: 10 neurons Output layer: 1 neuron Activation function: ReLU | Optimizer: SGD Learning rate: 1e-3 Momentum: 0.9 Epochs: 400 Batch size: 300 |
| ANN3 | Regional ionosphere coefficients Latitude, Longitude HoDsin, HoDcos | Input layer: 29 neurons Hidden layer 1: 10 neurons Hidden layer 2: 10 neurons Hidden layer 3: 10 neurons Output layer: 1 neuron Activation function: ReLU | Optimizer: SGD Learning rate: 1e-3 Momentum: 0.9 Epochs: 400 Batch size: 300 |
| ANN4 | Regional ionosphere coefficients Latitude, Longitude HoDsin, HoDcos F10.7 | Input layer: 30 neurons Hidden layer 1: 10 neurons Hidden layer 2: 10 neurons Hidden layer 3: 10 neurons Output layer: 1 neuron Activation function: ReLU | Optimizer: SGD Learning rate: 1e-3 Momentum: 0.9 Epochs: 400 Batch size: 300 |
| ANN5 IONOWB_AI | Regional ionosphere coefficients Latitude, Longitude HoDsin, HoDcos F10.7 Kp, Dst | Input layer: 32 neurons Hidden layer 1: 10 neurons Hidden layer 2: 10 neurons Hidden layer 3: 10 neurons Output layer: 1 neuron Activation function: ReLU | Optimizer: SGD Learning rate: 1e-3 Momentum: 0.9 Epochs: 400 Batch size: 300 |
| ANN6 | Latitude, Longitude HoDsin, HoDcos F10.7 Kp, Dst | Input layer: 7 neurons Hidden layer 1: 10 neurons Hidden layer 2: 10 neurons Hidden layer 3: 10 neurons Output layer: 1 neuron Activation function: ReLU | Optimizer: SGD Learning rate: 1e-4 Momentum: 0.9 Epochs: 200 Batch size: 50 |
| RF1 | Regional ionosphere coefficients Latitude, Longitude HoD F10.7, Kp, Dst | Number of trees= 300 Min_samples_split=5 Min_samples_leaf=3 | Criterion: Mean squared error |
| RF2 | Latitude, Longitude HoD F10.7, Kp, Dst | Number of trees= 300 Min_samples_split=5 Min_samples_leaf=5 | Criterion: Mean squared error |