SYMBOL INDEX (48 symbols across 4 files)

FILE: src/Backpropagation/Algorithm/Connection.java
  class Connection (line 3) | class Connection {
    method Connection (line 13) | Connection(Neuron fromN) {
    method getWeight (line 19) | double getWeight() {
    method setWeight (line 23) | void setWeight(double w) {
    method setBestWeight (line 27) | void setBestWeight(double w) {
    method setWeightAsBest (line 31) | void setWeightAsBest() {
    method setDeltaWeight (line 35) | void setDeltaWeight(double w) {
    method getPrevDeltaWeight (line 40) | double getPrevDeltaWeight() {
    method getLeftNeuron (line 44) | Neuron getLeftNeuron() {

FILE: src/Backpropagation/Algorithm/NeuralNetwork.java
  class NeuralNetwork (line 5) | public class NeuralNetwork {
    method NeuralNetwork (line 18) | public NeuralNetwork(ArrayList<Double[]> inputs, ArrayList<Double> out...
    method getRandomNumber (line 79) | private Double getRandomNumber(Double minRange, Double maxRange) {
    method setInput (line 83) | private void setInput(Double inputs[]) {
    method getOutput (line 89) | private Double[] getOutput() {
    method activate (line 96) | private void activate() {
    method applyBackpropagation (line 105) | private void applyBackpropagation(Double expectedOutput[]) {
    method run (line 162) | public String run(int maxSteps, double minError) {
    method test (line 228) | public String test(ArrayList<Double[]> inputs, int maxSteps, double mi...
    method getOutputKind (line 259) | public int[] getOutputKind(ArrayList<Double[]> inputs, int maxSteps, d...
    method printAllWeights (line 290) | private void printAllWeights() {
    method printWeights (line 296) | private void printWeights(Neuron n) {

FILE: src/Backpropagation/Algorithm/Neuron.java
  class Neuron (line 5) | class Neuron {
    method Neuron (line 13) | Neuron() {
    method calculateOutput (line 18) | void calculateOutput() {
    method sigmoid (line 29) | private double sigmoid(double x) {
    method addConnections (line 33) | void addConnections(ArrayList<Neuron> neurons) {
    method addConnections (line 41) | void addConnections(Neuron[] neurons) {
    method getConnection (line 49) | Connection getConnection(int neuronIndex) {
    method getAllConnections (line 53) | ArrayList<Connection> getAllConnections() {
    method getOutput (line 57) | double getOutput() {
    method setOutput (line 61) | void setOutput(double o) {

FILE: src/Backpropagation/MainFrame.java
  class MainFrame (line 25) | public class MainFrame {
    method MainFrame (line 74) | private MainFrame() {
    method loadFile (line 326) | private void loadFile(JFileChooser fileChooser) {
    method resetData (line 375) | private void resetData() {
    method initialData (line 386) | private void initialData() {
    method startTrain (line 415) | private void startTrain(ArrayList<Double[]> inputs) {
    method round (line 427) | private Double round(Double value, int places) {
    method normalize (line 434) | private Double normalize(Double input, Double min, Double max) {
    method convertCoordinate (line 438) | private Double[] convertCoordinate(Double[] oldPoint) {
    method alertBackground (line 445) | private void alertBackground(JTextField textField, boolean alert) {
    method resetFrame (line 452) | private static void resetFrame() {
    method changeLAF (line 458) | private static void changeLAF(String name) {
    method createUIComponents (line 475) | private void createUIComponents() {
    method main (line 483) | public static void main(String[] args) {
    class GPanel (line 540) | private class GPanel extends JPanel {
      method paintComponent (line 541) | @Override
      method drawScale (line 600) | private void drawScale(Graphics2D g2, Double i) {