Calculates and returns the result of the sigmoid function @param input value @return result of the sigmoid function

calc This method calculates the output of each layer and forwards all values to the next layer

calc Performs the calculation of this function @param x @return Returns the result of this function

Denormalizes data matrix as custom range @param data matrix of raw real numbers @param data matrix of normalized real numbers @return

Normalizes data matrix as custom range @param data matrix of real numbers @param minimum normalized value @param maximum normalized value @return

deactivateBias This method sets the bias parameter to be zero, so the bias weight will be useless.

deactivateBias This method sets the bias parameter to be zero, so the bias weight will be useless.

derivativeBatch @param _input a 2-D ArrayList (matrix) containing the inputs to be fed into the neuron. @return Returns the first derivative for each

derivativeBatch @param _input a 2-D ArrayList (matrix) containing the inputs to be fed into the neuron. @return Returns the first derivative for each

Gets data matrix @param path @param fileName @return Java Matrix

Gets inputs values of neural net as double array @return double array of inputs

getInputs @return Return the neuron's inputs in a vector

getInputs @return Return the neuron's inputs in a vector

Gets multiple columns of a matrix @param double matrix @param vector of columns indexes @return double matrix with columns of column indexes

getNextLayer @return Returns the reference to the next layer

Returns the reference to the next layer @return next layer object

getNextLayer @return Returns the reference to the next layer

getNextLayer @return Returns the reference to the next layer

getPreviousLayer @return Returns the reference to the previous layer