Community documentation for Grasshopper add-ons & plugins
Neural Network Trainer
This component uses the resilient backpropagation (RProp) learning algorithm to train neural networks.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Training Inputs | Inputs | The training inputs values | Number |
| Training Outputs | Outputs | The expected outputs values | Number |
| Hidden Neurons | Hidden Neurons | Number of neurons in each hidden layer. | Integer |
| Learning Algorithm | Learning Algorithm | Learning Algorithm: (0) Backpropagation (1) Resilient Backpropagation (2) Evolutionary (Genetic) Algorithm (3) Levenberg-Marquardt | Integer |
| Activation Function | Activation Function | Activation Function: (0) Sigmoid (1) Bipolar Sigmoid (2) Linear (3) Rectified Linear (4) Threshold (5) Identity | Integer |
| Alpha | Alpha | Alpha value. | Number |
| Iterations | Iterations | Number of iterations to teach the network. | Integer |
| Input Neurons | Input Neurons | Number of Input Neurons. | Integer |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Trained Nueral Network | Neural Network | Trained Neural Network | Generic Data |
| Error's Dynamics | Error | Error's Dynamics | Number |
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