public static void main(String[] args) {
NeuralNetwork nn = new NeuralNetwork(2, 4, 1);
int maxRuns = 50000;
double minErrorCondition = 0.001;
// nn.run(maxRuns, minErrorCondition);
nn.test();
}
public double getGradientAbs() {
double currE = 0;
for (int il = 1; il < neuralNetwork.numberOfLayers(); il++) {
currE += this.vectorAbs(thresholds.elementAt(il));
currE += this.doubleVectorAbs(weights.elementAt(il));
}
return currE;
// for (Vector<Double> vector : this.thresholds) currE += this.vectorAbs(vector);
// for (Vector<Vector<Double>> doubleVector : this.weights) currE +=
// this.doubleVectorAbs(doubleVector);
// return currE;
}