getNumberOfNeuronsInLayer @return Returns the number of neurons in this layer

setInputs Sets a vector of double-precision values to the neuron input @param values vector of values applied at the neuron input

Converts a double ArrayList to a double matrix @param ArrayList to be converted @return matrix converted to double[][]

Converts a double ArrayList to a double matrix @param ArrayList to be converted @return matrix converted to double[][]

getOutputs @return Returns the neural outputs in the form of vector

Gets column of an double matrix @param matrix with elements @param columun index @return array with elements of column index

Performing scatter plot @param xAxisLabel @param yAxisLabel

updateWeight Method used for updating the weight during learning @param i ith java position of the weight @param value value to be updated on the weig

Method used for updating the weight during learning @param i ith java position of the weight @param value value to be updated on the weight

updateWeight Method used for updating the weight during learning @param i ith java position of the weight @param value value to be updated on the weig

Denormalizes data matrix @param data matrix of raw real numbers @param data matrix of normalized real numbers @return denormalized matrix

Sets neural net mode @param neural net mode

updateWeight Method used for updating the weight during learning @param i ith java position of the weight @param value value to be updated on the weig

Gets the maximum value of an array of real numbers @param data matrix of real numbers @return

Method to print the neural network information

setInputs Sets a vector of double-precision values to the neuron input @param values vector of values applied at the neuron input