Provides random values to the neuron weights and bias so as to start with. It is usually called by the random.init.NeuralNet function during the construction of the neural object by the newff function.
select.activation.function(activation.function)Activation function name. Currently the user may choose amongst purelin, tansig, sigmoid, hardlim and custom. If custom is chosen the the user must manually assign the neuron f0 and f1 functions.
select.activation.function returns a list with two elements. The first, f0 is the R code selected to serve as the neuron activation function. The second, f1 is the R code of the activation function derivative.