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AMORE (version 0.2-16)
Artificial Neural Network Training and Simulating
Description
Commands for training a simulating an artificial neural network.
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Install
install.packages('AMORE')
Monthly Downloads
133
Version
0.2-16
License
GPL (>= 2)
Maintainer
Manuel Castejn Limas
Last Published
February 12th, 2020
Functions in AMORE (0.2-16)
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error.TAO
TAO robust error criterium auxiliar functions.
train
Neural network training function.
BATCHgdwm.MLPnet
Batch gradient descent with momentum training
training.report
Neural network training report generator function.
select.activation.function
Provides R code of the selected activation function.
sim.MLPnet
Performs the simulation of a neural network from an input data set.
random.init.MLPneuron
Initialize the neuron with random weigths and bias.
ADAPTgd.MLPnet
Adaptative gradient descent training
init.MLPneuron
Neuron constructor.
ADAPTgdwm.MLPnet
Adaptative gradient descent with momentum training
graphviz.MLPnet
Neural network graphic representation
random.init.MLPnet
Initialize the network with random weigths and biases.
BATCHgd.MLPnet
Batch gradient descent training
error.LMS
Neural network training error criteria.
newff
Create a Multilayer Feedforward Neural Network