Man pages for AMORE
Artificial Neural Network Training and Simulating
| ADAPTgd.MLPnet | Adaptative gradient descent training |
| ADAPTgdwm.MLPnet | Adaptative gradient descent with momentum training |
| BATCHgd.MLPnet | Batch gradient descent training |
| BATCHgdwm.MLPnet | Batch gradient descent with momentum training |
| deltaE | Neural network training error criteria. |
| graphviz.MLPnet | Neural network graphic representation |
| init.MLPneuron | Neuron constructor. |
| newff | Create a Multilayer Feedforward Neural Network |
| random.init.MLPnet | Initialize the network with random weigths and biases. |
| random.init.MLPneuron | Initialize the neuron with random weigths and bias. |
| select.activation.function | Provides R code of the selected activation function. |
| sim.MLPnet | Performs the simulation of a neural network from an input... |
| taofun | TAO robust error criterium auxiliar functions. |
| train | Neural network training function. |
| training.report | Neural network training report generator function. |
