Type of the derivative of the error function
Type of the derivative of the transfer function of the output layer
Type allowing to choose the number of patterns used to compute the gradient of the error, before making a step in the descent direction (in the weights space).
The program can be runned in several modes
Error function, tranfer functions for the hidden and output units, and their derivatives.
Description of the networks units, layers, and connections.
Type of optimization method used to minimize the error.
The derivatives of the activation function of the output layer and of the error fuction are used to compute the deltas of the output layer (see Ann_backprop, and [Bishop96], section 4.8).