Mobile versionIch habe eine While-Schleife in main(), die eine Variable ausgeben soll mit dem Namen totError. totError sollte bei jeder Schleife unterschiedlich sein (berechnet basierend auf einem sich ändernden Parameter). Ich kann jedoch anscheinend nicht herausfinden, wo ich mit dem Code einen Fehler gemacht habe, er zeigt immer noch das Gleiche an. Verwende ich statische Variablen und Methoden falsch?
Die .java- und .txt-Dateien werden unten eingefügt (leider ist die .txt-Datei zu groß, sodass ich nur einen kleinen Teil davon eingefügt habe). aber die Dimensionen meiner Arrays sind korrekt). Kann mir jemand die richtige Richtung zeigen?
Code: Select all
package nn;
import java.io.File;
import java.io.FileReader;
import java.io.BufferedReader;
//import java.io.PrintStream;
import java.io.IOException;
import java.lang.Math;
public class learningBP {
// Declare variables
static int NUM_INPUTS = 10; // Including 1 bias
static int NUM_HIDDENS = 10; // Including 1 bias
static int NUM_OUTPUTS = 1;
static double LEARNING_RATE = 0.1;
static double MOMENTUM = 0.1;
static double TOT_ERROR_THRESHOLD = 0.05;
static double SIGMOID_UB = 1;
static double SIGMOID_LB = -1;
static double [][] wgtIH = new double[NUM_INPUTS][NUM_HIDDENS];
static double [][] dltWgtIH = new double[NUM_INPUTS][NUM_HIDDENS];
static double [][] wgtHO = new double[NUM_HIDDENS][NUM_OUTPUTS];
static double [][] dltWgtHO = new double[NUM_HIDDENS][NUM_OUTPUTS];
static int NUM_STATES_ACTIONS;
static String [][] strLUT = new String[4*4*4*3*4*4][2];
static double [][] arrayLUT = new double[strLUT.length][2];
static double [][] arrayNormLUT = new double[strLUT.length][2];
static double [] arrayErrors = new double[strLUT.length];
static double [] arrayOutputs = new double[strLUT.length];
static double [] arrayNormOutputs = new double[strLUT.length];
static double [][] valueInput = new double[strLUT.length][NUM_INPUTS];
static double [][] valueHidden = new double[strLUT.length][NUM_HIDDENS];
static double [] dltOutputs = new double[strLUT.length];
static double [][] dltHiddens = new double[strLUT.length][NUM_HIDDENS];
static double totError = 1;
static int numEpochs = 0;
public static void main(String[] args) {
// Load LUT
String fileName = "/Users/XXXXX/Desktop/LUT.txt";
try {
load(fileName);
}
catch (IOException e) {
e.printStackTrace();
}
// Initialize NN Weights
initializeWeights();
while (totError > TOT_ERROR_THRESHOLD) {
// Feed Forward
fwdFeed();
// Back Propagation
bckPropagation();
// Calculate Total Error
totError = calcTotError(arrayErrors);
numEpochs += 1;
System.out.println("Number of Epochs: "+numEpochs);
System.out.println(totError);
}
}
public double outputFor(double[] X) {
// TODO Auto-generated method stub
return 0;
}
public double train(double[] X, double argValue) {
// TODO Auto-generated method stub
return 0;
}
public void save(File argFile) {
// TODO Auto-generated method stub
}
public static void load(String argFileName) throws IOException {
// Load LUT training set from Part2
BufferedReader r = new BufferedReader(new FileReader(new File(argFileName)));
String l = r.readLine();
try {
int a = 0;
while (l != null) {
String spt[] = l.split(" ");
strLUT[a][0] = spt[0];
strLUT[a][1] = spt[1];
arrayLUT[a][0] = Double.parseDouble(strLUT[a][0]);
arrayLUT[a][1] = Double.parseDouble(strLUT[a][1]);
a += 1;
l = r.readLine();
}
} catch (IOException e) {
e.printStackTrace();
} finally {
r.close();
}
// Normalize LUT to bipolar
for (int b = 0; b < arrayLUT.length; b++) {
arrayNormLUT[b][0] = arrayLUT[b][0];
arrayNormLUT[b][1] = sigmoid(arrayLUT[b][1]);
}
}
public static double sigmoid(double x) {
// Bipolar sigmoid
return (SIGMOID_UB - SIGMOID_LB) / (1 + Math.pow(Math.E, -x)) + SIGMOID_LB;
}
public static void initializeWeights() {
// Initialize weights from input layer to hidden layer
for (int i = 0; i < NUM_INPUTS; i++) {
for (int j = 0; j < NUM_HIDDENS; j++) {
wgtIH[i][j] = Math.random() - 0.5;
dltWgtIH[i][j] = 0;
}
}
// Initialize weights from hidden layer to output layer
for (int j = 0; j < NUM_HIDDENS; j++) {
for (int k = 0; k < NUM_OUTPUTS; k++) {
wgtHO[j][k] = Math.random() - 0.5;
dltWgtHO[j][k] = 0;
}
}
}
public void zeroWeights() {
// TODO Auto-generated method stub
}
public static void fwdFeed() {
for(int z = 0; z < arrayLUT.length; z++) {
// Normalize between [-1, 1]
valueInput[z][0] = (Character.getNumericValue(strLUT[z][0].charAt(0)) - 2.5)/1.5; // myX
valueInput[z][1] = (Character.getNumericValue(strLUT[z][0].charAt(1)) - 2.5)/1.5; // myY
valueInput[z][2] = (Character.getNumericValue(strLUT[z][0].charAt(2)) - 2.5)/1.5; // myHead
valueInput[z][3] = Character.getNumericValue(strLUT[z][0].charAt(3)) - 2; // enProx
valueInput[z][4] = (Character.getNumericValue(strLUT[z][0].charAt(4)) - 2.5)/1.5; // enAngle
// Vectorization of the four possible actions into binaries
valueInput[z][5] = 0;
valueInput[z][6] = 0;
valueInput[z][7] = 0;
valueInput[z][8] = 0;
int action = Character.getNumericValue(strLUT[z][0].charAt(5)); // action
valueInput[z][action-1] = 1;
// Apply bias input
valueInput[z][9] = 1;
// Calculate value for hidden neuron j
for(int j = 0; j < NUM_HIDDENS-1; j++) {
valueHidden[z][j] = 0;
for(int i = 0; i < NUM_INPUTS; i++) {
valueHidden[z][j] += valueInput[z][i]*wgtIH[i][j];
}
valueHidden[z][j] = sigmoid(valueHidden[z][j]);
}
// Apply bias hidden neuron
valueHidden[z][9] = 1;
// Calculate value for output neuron
arrayOutputs[z] = 0;
for(int j = 0; j < NUM_HIDDENS; j++) {
arrayOutputs[z] += valueHidden[z][j]*wgtHO[j][0];
}
arrayNormOutputs[z] = sigmoid(arrayOutputs[z]);
arrayErrors[z] = arrayNormOutputs[z] - arrayNormLUT[z][1];
}
}
public static void bckPropagation() {
for(int z = 0; z < arrayLUT.length; z++) {
// Delta rule for bipolar sigmoids
dltOutputs[z] = arrayErrors[z] * (1/2) * (1 + arrayNormLUT[z][1]) * (1 - arrayNormLUT[z][1]);
// Calculate update weights between hidden & output layers
for(int j = 0; j < NUM_HIDDENS; j++) {
dltWgtHO[j][0] = (LEARNING_RATE * dltOutputs[z] * valueHidden[z][j]) + (MOMENTUM * dltWgtHO[j][0]);
wgtHO[j][0] += dltWgtHO[j][0];
}
// Delta rule for bipolar sigmoids
for(int j = 0; j < NUM_HIDDENS-1; j++) {
dltHiddens[z][j] = (dltOutputs[z] * wgtHO[j][0]) * (1/2) * (1 + valueHidden[z][j]) * (1 - valueHidden[z][j]);
// calculate update weights between input & hidden layers
for(int i = 0; i < NUM_INPUTS; i++){
dltWgtIH[i][j] = (LEARNING_RATE * dltHiddens[z][j] * valueInput[z][i]) + (MOMENTUM * dltWgtIH[i][j]);
wgtIH[i][j] += dltWgtIH[i][j];
}
}
}
}
public static double calcTotError(double [] Ar) {
// Get total error
double outputTotError = 0;
for(int z = 0; z < Ar.length; z++) {
outputTotError += Math.pow(Ar[z], 2 ) ; < b r / > < b r / > } < b r / > r e t u r n o u t p u t T o t E r r o r / = 2 ; < b r / > < b r / > } < b r / > < b r / > } < b r / > < / c o d e > < b r / > < b r / > < p r e c l a s s = " l a n g - h t m l P r e t t y p r i n t - o v e r r i d e " > < c o d e > L U T . t x t < b r / > < b r / > 1 1 1 1 1 1 1 0 . 9 4 1 1 1 8 0 7 9 5 8 9 0 6 4 < b r / > 1 1 1 1 1 2 - 0 . 1 < b r / > 1 1 1 1 1 3 0 . 5 5 6 2 0 0 4 9 9 0 8 4 8 5 7 9 < b r / > 1 1 1 1 1 4 1 . 9 8 9 0 7 1 2 8 9 0 2 5 9 5 < b r / > 1 1 1 1 2 1 1 1 . 8 6 2 1 5 1 1 5 7 5 2 6 2 9 1 < b r / > 1 1 1 1 2 2 0 < b r / > 1 1 1 1 2 3 - 0 . 3 8 4 2 3 5 5 9 4 4 3 1 2 8 2 3 6 < b r / > 1 1 1 1 2 4 0 . 2 9 2 4 4 2 9 8 8 2 3 7 2 8 2 2 < b r / > 1 1 1 1 3 1 0 < b r / > 1 1 1 1 3 2 0 < b r / > 1 1 1 1 3 3 0 < b r / > 1 1 1 1 3 4 0 . 1 2 2 7 5 0 9 5 8 8 6 2 9 4 2 4 3 < b r / > 1 1 1 1 4 1 - 0 . 0 5 4 5 6 1 8 0 3 2 2 3 7 3 8 6 < b r / > 1 1 1 1 4 2 1 . 1 1 1 1 4 9 7 5 4 5 3 6 8 1 5 < b r / > 1 1 1 1 4 3 - 0 . 6 4 8 3 9 4 0 6 9 6 0 9 8 0 7 6 < b r / > 1 1 1 1 4 4 - 0 . 3 0 3 9 7 0 0 4 4 4 1 3 3 6 3 9 5 < b r / > 1 1 1 2 1 1 8 . 1 0 4 9 4 6 5 1 5 8 4 5 2 2 4 < b r / > 1 1 1 2 1 2 3 . 4 6 7 9 9 1 4 8 6 3 3 3 4 4 4 7 < b r / > 1 1 1 2 1 3 3 . 6 6 2 0 0 3 9 8 5 1 1 9 9 5 2 < b r / > 1 1 1 2 1 4 6 . 2 7 7 6 8 5 6 7 6 4 5 7 8 3 9 < b r / > 1 1 1 2 2 1 1 2 . 5 5 2 7 1 0 5 4 6 0 2 2 2 8 1 < b r / > 1 1 1 2 2 2 - 0 . 0 9 0 9 9 2 6 7 9 4 8 1 9 0 8 4 5 < b r / > 1 1 1 2 2 3 - 0 . 2 9 5 6 6 5 4 5 0 2 3 9 5 2 9 6 7 < b r / > 1 1 1 2 2 4 3 . 1 4 8 7 8 9 0 5 0 0 9 2 7 0 6 3 < b r / > 1 1 1 2 3 1 0 < b r / > 1 1 1 2 3 2 0 < b r / > 1 1 1 2 3 3 0 < b r / > 1 1 1 2 3 4 8 . 9 3 4 9 1 2 1 4 3 0 4 0 6 5 2 E - 4 < b r / > 1 1 1 2 4 1 3 . 8 9 5 1 2 6 7 2 5 0 3 2 6 7 2 < b r / > 1 1 1 2 4 2 - 0 . 2 0 1 0 0 1 6 2 1 2 9 7 1 9 8 4 < b r / > 1 1 1 2 4 3 0 . 8 3 7 4 2 9 5 4 3 5 3 6 9 1 2 < b r / > 1 1 1 2 4 4 - 0 . 2 7 6 6 3 0 5 3 4 9 1 6 9 4 6 5 6 < b r / > 1 1 1 3 1 1 1 1 . 6 5 3 9 5 1 5 1 3 9 9 0 3 7 1 < b r / > 1 1 1 3 1 2 - 0 . 2 9 4 6 9 7 3 1 4 5 0 8 9 2 0 8 < b r / > 1 1 1 3 1 3 - 0 . 2 9 7 8 1 8 4 4 4 8 8 8 8 4 7 2 < b r / > 1 1 1 3 1 4 0 . 8 2 7 9 3 9 3 7 7 8 7 9 1 1 6 4 < b r / > 1 1 1 3 2 1 0 < b r / > 1 1 1 3 2 2 0 < b r / > 1 1 1 3 2 3 0 < b r / > 1 1 1 3 2 4 2 . 2 6 4 1 6 3 3 7 6 1 2 0 1 1 1 4 < b r / > 1 1 1 3 3 1 0 < b r / > 1 1 1 3 3 2 0 < b r / > 1 1 1 3 3 3 0 < b r / > 1 1 1 3 3 4 0 < b r / > 1 1 1 3 4 1 0 < b r / > 1 1 1 3 4 2 0 < b r / > 1 1 1 3 4 3 1 . 1 7 3 2 7 2 5 0 5 9 5 8 3 2 4 9 < b r / > 1 1 1 3 4 4 - 0 . 1 < b r / > 1 1 2 1 1 1 5 . 5 3 5 9 0 3 8 8 5 9 1 7 9 5 3 5 < b r / > 1 1 2 1 1 2 0 < b r / > 1 1 2 1 1 3 0 < b r / > 1 1 2 1 1 4 0 . 0 < b r / > 1 1 2 1 2 1 0 . 0 8 6 5 9 9 9 5 2 2 6 0 7 0 3 2 7 < b r / > 1 1 2 1 2 2 0 . 2 7 9 8 0 7 2 1 3 9 5 5 3 1 1 4 < b r / > 1 1 2 1 2 3 5 . 4 9 0 7 8 1 1 0 1 3 4 2 3 2 < b r / > 1 1 2 1 2 4 - 0 . 3 1 0 8 7 4 5 9 5 2 0 2 4 5 6 8 < b r / > 1 1 2 1 3 1 - 0 . 0 5 9 6 5 2 3 7 0 7 4 9 2 3 0 3 3 < b r / > 1 1 2 1 3 2 0 . 0 9 2 5 3 9 2 4 7 0 7 3 6 9 8 5 4 < b r / > 1 1 2 1 3 3 - 0 . 4 < b r / > 1 1 2 1 3 4 3 . 1 6 1 9 7 2 0 9 9 0 0 2 6 1 8 < b r / > 1 1 2 1 4 1 - 0 . 5 2 6 0 7 6 6 5 7 0 0 3 4 8 1 2 < b r / > 1 1 2 1 4 2 - 0 . 4 8 0 9 0 1 1 8 8 3 7 1 5 6 2 5 4 < b r / > 1 1 2 1 4 3 - 0 . 7 3 1 0 8 2 2 7 5 5 5 3 2 7 8 8 < b r / > 1 1 2 1 4 4 3 . 4 8 6 6 1 7 4 3 9 6 3 1 5 8 1 < b r / > 1 1 2 2 1 1 0 < b r / > 1 1 2 2 1 2 0 < b r / > 1 1 2 2 1 3 0 < b r / > 1 1 2 2 1 4 0 . 6 5 2 2 5 8 8 1 1 9 3 2 6 0 3 2 < b r / > 1 1 2 2 2 1 0 < b r / > 1 1 2 2 2 2 0 < b r / > 1 1 2 2 2 3 0 < b r / > 1 1 2 2 2 4 0 . 7 4 6 0 3 0 3 9 8 4 8 4 7 7 4 9 < b r / > 1 1 2 2 3 1 0 . 2 3 7 3 6 4 8 4 5 2 9 8 2 1 2 9 5 < b r / > 1 1 2 2 3 2 0 . 4 0 5 2 7 8 8 5 4 4 8 5 7 5 4 6 < b r / > 1 1 2 2 3 3 0 < b r / > 1 1 2 2 3 4 2 . 9 5 1 6 3 1 1 0 0 3 4 4 3 7 2 < b r / > 1 1 2 2 4 1 0 . 5 6 5 3 6 5 5 6 7 9 3 7 5 4 0 6 < b r / > 1 1 2 2 4 2 0 . 4 9 7 1 8 1 0 4 6 5 3 3 4 6 1 6 < b r / > 1 1 2 2 4 3 7 . 4 0 2 0 0 4 6 9 3 8 6 6 5 4 3 < b r / > 1 1 2 2 4 4 - 0 . 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 < b r / > 1 1 2 3 1 1 0 < b r / > 1 1 2 3 1 2 0 < b r / > 1 1 2 3 1 3 0 < b r / > 1 1 2 3 1 4 0 < b r / > 1 1 2 3 2 1 0 < b r / > 1 1 2 3 2 2 0 < b r / > 1 1 2 3 2 3 0 < b r / > 1 1 2 3 2 4 0 < b r / > 1 1 2 3 3 1 0 < b r / > 1 1 2 3 3 2 0 < b r / > 1 1 2 3 3 3 0 . 4 1 5 1 8 7 8 2 5 9 7 6 8 6 0 4 < b r / > 1 1 2 3 3 4 1 . 7 7 2 4 1 0 4 7 3 6 0 4 2 4 0 5 < b r / > 1 1 2 3 4 1 0 < b r / > 1 1 2 3 4 2 0 < b r / > 1 1 2 3 4 3 4 . 0 6 9 8 9 6 8 8 5 4 6 4 7 4 9 < b r / > 1 1 2 3 4 4 - 0 . 4 < b r / > 1 1 3 1 1 1 0 < b r / > 1 1 3 1 1 2 0 . 0 2 2 5 6 6 9 8 6 5 9 8 2 8 2 8 2 3 < b r / > 1 1 3 1 1 3 0 . 0 8 7 2 4 3 2 0 7 5 8 2 0 8 1 4 4 < b r / > 1 1 3 1 1 4 1 0 . 0 5 4 3 2 2 1 4 8 2 4 6 6 2 < b r / > 1 1 3 1 2 1 1 . 0 5 6 4 4 1 4 0 3 5 1 6 1 5 9 1 < b r / > 1 1 3 1 2 2 - 0 . 2 9 0 2 9 6 0 2 9 2 4 1 5 3 3 6 4 < b r / > 1 1 3 1 2 3 - 0 . 5 5 4 1 0 3 8 2 2 5 1 3 1 5 9 1 < b r / > 1 1 3 1 2 4 8 . 6 7 2 3 2 4 8 7 2 3 7 8 9 8 8 < b r / > 1 1 3 1 3 1 - 0 . 3 6 5 4 2 3 4 5 6 6 0 0 3 7 3 9 < b r / > 1 1 3 1 3 2 - 0 . 4 < b r / > 1 1 3 1 3 3 0 . 5 0 0 4 1 9 2 6 6 9 3 4 9 1 9 9 < b r / > 1 1 3 1 3 4 2 . 0 7 8 0 8 2 5 3 2 1 1 9 6 7 4 < b r / > 1 1 3 1 4 1 0 < b r / > 1 1 3 1 4 2 0 < b r / > 1 1 3 1 4 3 0 < b r / > 1 1 3 1 4 4 1 . 2 5 2 5 1 0 7 2 2 1 5 3 3 3 5 4 < b r / > 1 1 3 2 1 1 0 < b r / > 1 1 3 2 1 2 0 . 2 9 4 9 5 6 9 5 5 0 2 8 8 8 5 6 4 < b r / > 1 1 3 2 1 3 - 0 . 0 7 5 2 9 4 8 1 4 0 1 5 9 5 7 5 6 < b r / > 1 1 3 2 1 4 - 0 . 2 4 0 4 5 1 4 4 2 1 5 1 4 2 7 2 < b r / > 1 1 3 2 2 1 - 0 . 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 < b r / > 1 1 3 2 2 2 0 . 7 4 4 5 6 1 5 1 9 5 5 1 4 3 9 5 < b r / > 1 1 3 2 2 3 - 0 . 3 6 5 8 3 1 7 7 5 5 6 6 6 0 4 7 < b r / > 1 1 3 2 2 4 8 . 5 5 3 6 5 6 9 4 0 7 5 6 9 0 2 < b r / > 1 1 3 2 3 1 - 0 . 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 < b r / > 1 1 3 2 3 2 4 . 6 0 1 0 5 5 7 4 9 6 6 5 0 9 1 5 < b r / > 1 1 3 2 3 3 - 0 . 3 8 7 9 3 8 5 8 4 0 4 6 5 7 4 2 < b r / > 1 1 3 2 3 4 - 0 . 2 < b r / > 1 1 3 2 4 1 0 . 4 3 2 6 8 1 9 9 3 8 5 4 8 7 7 4 < b r / > 1 1 3 2 4 2 0 < b r / > 1 1 3 2 4 3 0 < b r / > 1 1 3 2 4 4 1 . 1 9 4 2 5 9 5 4 2 7 1 2 1 4 0 7 < b r / > 1 1 3 3 1 1 0 < b r / > 1 1 3 3 1 2 0 < b r / > 1 1 3 3 1 3 0 . 0 < b r / > 1 1 3 3 1 4 - 0 . 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 < b r / > 1 1 3 3 2 1 - 0 . 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 < b r / > 1 1 3 3 2 2 0 < b r / > 1 1 3 3 2 3 0 < b r / > 1 1 3 3 2 4 0 . 1 2 6 2 8 4 3 6 0 3 9 4 7 4 9 3 3 < b r / > 1 1 3 3 3 1 0 < b r / > 1 1 3 3 3 2 0 < b r / > 1 1 3 3 3 3 0 < b r / > 1 1 3 3 3 4 1 . 1 9 9 0 7 5 7 3 5 8 6 8 5 4 0 9 < b r / > 1 1 3 3 4 1 0 < b r / > 1 1 3 3 4 2 0 < b r / > 1 1 3 3 4 3 0 < b r / > 1 1 3 3 4 4 0 < b r / > 1 1 4 1 1 1 - 0 . 2 6 2 0 8 5 4 0 5 7 6 1 9 0 8 4 < b r / > 1 1 4 1 1 2 4 . 1 2 5 8 5 4 6 3 8 3 2 2 6 1 8 < b r / > 1 1 4 1 1 3 - 0 . 6 3 5 7 4 0 8 6 0 2 2 1 4 7 6 2 < b r / > 1 1 4 1 1 4 - 0 . 3 8 3 3 4 4 0 4 7 8 1 8 8 0 9 8 < b r / > 1 1 4 1 2 1 4 . 1 5 1 5 9 2 1 9 8 1 0 0 2 6 8 < b r / > 1 1 4 1 2 2 0 . 0 7 8 8 1 0 2 0 2 8 5 5 8 9 5 6 8 < b r / > 1 1 4 1 2 3 0 . 2 4 7 0 9 6 2 2 6 6 5 8 6 3 1 7 < b r / > 1 1 4 1 2 4 - 0 . 6 1 4 3 5 1 1 3 0 3 1 4 1 2 3 < b r / > 1 1 4 1 3 1 0 < b r / > 1 1 4 1 3 2 0 < b r / > 1 1 4 1 3 3 0 . 1 3 7 1 6 6 4 0 8 2 3 5 6 8 7 < b r / > 1 1 4 1 3 4 - 0 . 0 7 3 6 6 0 2 2 8 3 3 8 3 4 0 6 < b r / > 1 1 4 1 4 1 0 < b r / > 1 1 4 1 4 2 1 . 7 9 4 5 5 7 0 6 2 3 5 2 7 6 < b r / > 1 1 4 1 4 3 - 0 . 1 0 7 7 8 1 8 0 5 0 4 3 8 9 9 6 7 < b r / > 1 1 4 1 4 4 - 0 . 1 0 9 5 < b r / > 1 1 4 2 1 1 4 . 0 9 3 0 9 9 2 3 5 3 6 1 0 0 4 < b r / > 1 1 4 2 1 2 0 . 4 3 7 7 3 3 6 8 5 1 5 3 4 5 2 8 5 < b r / > 1 1 4 2 1 3 - 0 . 2 2 7 2 2 1 4 3 1 7 0 6 8 8 8 1 3 < b r / > 1 1 4 2 1 4 - 0 . 4 7 2 5 4 4 0 8 3 7 5 0 8 4 9 5 5 < b r / > 1 1 4 2 2 1 0 . 9 6 6 6 0 7 0 6 5 6 0 2 1 0 3 1 < b r / > 1 1 4 2 2 2 5 . 3 2 5 7 6 4 8 1 9 7 2 1 2 1 7 5 < b r / > 1 1 4 2 2 3 0 . 8 5 5 0 2 5 7 5 7 1 9 8 3 3 9 1 < b r / > 1 1 4 2 2 4 1 . 7 2 9 4 1 3 3 6 1 8 5 8 1 1 9 6 < b r / > 1 1 4 2 3 1 0 < b r / > 1 1 4 2 3 2 0 < b r / > 1 1 4 2 3 3 0 . 2 1 6 9 3 0 9 8 9 6 5 9 2 9 4 3 3 < b r / > 1 1 4 2 3 4 - 0 . 2 0 0 5 6 6 4 9 2 5 8 7 2 7 2 7 2 < b r / > 1 1 4 2 4 1 0 < b r / > 1 1 4 2 4 2 0 < b r / > 1 1 4 2 4 3 - 0 . 0 0 4 2 0 7 8 9 0 7 6 4 5 4 6 6 4 < b r / > 1 1 4 2 4 4 - 0 . 0 3 9 8 0 3 9 6 6 1 7 1 4 8 6 9 9 < b r / > 1 1 4 3 1 1 - 0 . 1 4 8 9 4 6 6 1 3 1 9 0 7 1 2 4 2 < b r / > 1 1 4 3 1 2 2 . 8 3 1 8 0 0 4 9 8 4 9 9 6 0 8 6 < b r / > 1 1 4 3 1 3 0 . 0 9 9 7 2 0 0 3 8 3 5 4 2 1 4 2 8 < b r / > 1 1 4 3 1 4 - 0 . 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 < b r / > 1 1 4 3 2 1 - 0 . 2 2 0 1 4 7 7 1 2 0 7 8 5 2 6 1 8 < b r / > 1 1 4 3 2 2 3 . 6 6 1 3 2 6 3 8 4 8 4 9 0 2 3 6 < b r / > 1 1 4 3 2 3 - 0 . 9 6 1 6 4 2 1 3 2 9 1 1 2 8 9 < b r / > 1 1 4 3 2 4 - 0 . 3 7 5 8 7 6 2 9 8 2 2 5 2 6 0 1 4 < b r / > 1 1 4 3 3 1 0 < b r / > 1 1 4 3 3 2 0 < b r / > 1 1 4 3 3 3 0 < b r / > 1 1 4 3 3 4 0 < b r / > 1 1 4 3 4 1 0 < b r / > 1 1 4 3 4 2 0 < b r / > 1 1 4 3 4 3 0 < b r / > 1 1 4 3 4 4 0 . 0 1 0 2 9 1 7 4 9 1 2 9 2 0 4 0 1 < b r / > 1 2 1 1 1 1 8 . 7 4 9 2 8 3 1 5 0 5 4 4 0 2 5 < b r / > 1 2 1 1 1 2 5 . 1 6 0 3 0 3 4 3 6 3 0 1 4 4 5 < b r / > 1 2 1 1 1 3 5 . 4 9 2 9 6 8 8 8 2 6 5 9 6 8 6 < b r / > 1 2 1 1 1 4 5 . 1 3 0 0 0 0 5 4 5 6 1 8 7 5 4 5 < b r / > 1 2 1 1 2 1 9 . 0 8 0 2 9 6 3 7 1 0 0 3 4 8 5 < b r / > 1 2 1 1 2 2 5 . 4 8 4 5 2 0 9 4 1 7 8 3 9 4 < b r / > 1 2 1 1 2 3 8 . 3 6 4 7 8 5 5 6 3 9 6 4 7 0 7 < b r / > 1 2 1 1 2 4 8 . 9 8 8 9 0 5 3 3 4 3 8 5 4 5 3 < b r / > 1 2 1 1 3 1 0 < b r / > 1 2 1 1 3 2 0 < b r / > 1 2 1 1 3 3 3 . 9 6 5 7 6 5 3 2 0 2 2 1 7 7 6 4 < b r / > 1 2 1 1 3 4 - 0 . 1 < b r / > 1 2 1 1 4 1 4 . 2 9 9 7 1 4 7 9 5 4 8 5 2 4 2 < b r / > 1 2 1 1 4 2 - 0 . 2 0 1 0 0 9 4 0 6 6 1 8 9 6 5 8 2 < b r / > 1 2 1 1 4 3 - 0 . 1 4 4 7 5 8 9 9 9 9 4 0 1 0 9 0 5 < b r / > 1 2 1 1 4 4 0 . 7 7 3 5 7 2 6 0 9 2 1 0 9 7 1 6 < b r / > 1 2 1 2 1 1 8 . 9 2 5 2 8 5 9 2 7 6 5 1 6 6 8 < b r / > 1 2 1 2 1 2 7 . 2 4 2 3 7 8 8 0 9 7 1 4 6 2 8 < b r / > 1 2 1 2 1 3 5 . 8 2 5 2 4 1 5 5 1 7 5 6 8 1 6 < b r / > 1 2 1 2 1 4 7 . 1 1 3 4 5 5 2 6 4 7 4 9 1 4 7 < b r / > 1 2 1 2 2 1 1 0 . 9 5 7 1 7 2 4 1 0 5 0 7 5 8 5 < b r / > 1 2 1 2 2 2 7 . 9 1 4 4 9 9 9 5 4 0 4 5 6 1 5 < b r / > 1 2 1 2 2 3 8 . 4 3 6 7 0 5 0 7 9 1 3 8 2 8 < b r / > 1 2 1 2 2 4 9 . 4 8 3 2 7 1 7 2 5 9 0 3 0 4 5 < b r / > 1 2 1 2 3 1 0 < b r / > 1 2 1 2 3 2 0 < b r / > 1 2 1 2 3 3 0 < b r / > 1 2 1 2 3 4 1 . 0 6 1 8 6 7 9 3 2 3 1 5 4 6 0 5 < b r / > 1 2 1 2 4 1 3 . 9 1 6 7 4 3 5 1 0 5 8 9 5 8 5 < b r / > 1 2 1 2 4 2 - 0 . 3 0 8 1 6 9 8 3 2 1 5 5 0 4 3 2 3 < b r / > 1 2 1 2 4 3 0 . 1 8 6 4 4 5 4 8 9 6 2 1 0 0 6 8 8 < b r / > 1 2 1 2 4 4 - 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