added some ANN stuff

src/neural/BattlefieldParameterEvaluator.java

@@ -31,6 +31,9 @@ public class BattlefieldParameterEvaluator {
 	final static int NUM_NN_HIDDEN_UNITS = 50;
 	// Number of epochs for training
 	final static int NUM_TRAINING_EPOCHS = 100000;
+	// The requested error in nn training
+	final static double NN_TRAINING_ERROR = 0.01;
+	
 	static int NdxBattle;
 	static double[] FinalScore1;
 	static double[] FinalScore2;
@@ -92,12 +95,30 @@ public class BattlefieldParameterEvaluator {
 			RawInputs[NdxSample][1] = GunCoolingRate[NdxSample] / MAXGUNCOOLINGRATE;
 			RawOutputs[NdxSample][0] = FinalScore1[NdxSample] / 250;
 		}
+
 		BasicNeuralDataSet MyDataSet = new BasicNeuralDataSet(RawInputs, RawOutputs);
+
 		// Create and train the neural network   
-		// ... TO DO ...
+		BasicNetwork network = new BasicNetwork();
+		network.addLayer(new BasicLayer(null, true, NUM_NN_INPUTS));
+		network.addLayer(new BasicLayer(new ActivationSigmoid(), true, NUM_NN_HIDDEN_UNITS));
+		network.addLayer(new BasicLayer(new ActivationSigmoid(), false, 1));
+		network.getStructure().finalizeStructure();
+		network.reset();
+
 		System.out.println("Training network...");
-		// ... TO DO ...
+		final ResilientPropagation train = new ResilientPropagation(network, MyDataSet);
+		
+		int epoch = 1;
+		 
+		do {
+			train.iteration();
+			System.out.println("Epoch #" + epoch + " Error:" + train.getError());
+			epoch++;
+		} while(train.getError() > NN_TRAINING_ERROR);
+		train.finishTraining();
 		System.out.println("Training completed.");
+		
 		System.out.println("Testing network...");
 		// Generate test samples to build an output image
 		int[] OutputRGBint = new int[NUMBATTLEFIELDSIZES * NUMCOOLINGRATES];
@@ -129,7 +150,6 @@ public class BattlefieldParameterEvaluator {
 			int MyPixelIndex = (int) (Math.round(NUMCOOLINGRATES * ((GunCoolingRate[NdxSample] / MAXGUNCOOLINGRATE) - 0.1) / 0.9) + Math
 					.round(NUMBATTLEFIELDSIZES * ((BattlefieldSize[NdxSample] / MAXBATTLEFIELDSIZE) - 0.1) / 0.9)
 					* NUMCOOLINGRATES);
-			// int MyPixelIndex = 0;
 			if ((MyPixelIndex >= 0) && (MyPixelIndex < NUMCOOLINGRATES * NUMBATTLEFIELDSIZES)) {
 				OutputRGBint[MyPixelIndex] = MyColor.getRGB();
 			}
@@ -139,7 +159,8 @@ public class BattlefieldParameterEvaluator {
 		File f = new File("hello.png");
 		try {
 			ImageIO.write(img, "png", f);
-		} catch (IOException e) {
+		}
+		catch (IOException e) {
 			// TODO Auto‐generated catch block
 			e.printStackTrace();
 		}
@@ -182,7 +203,7 @@ public class BattlefieldParameterEvaluator {
 
 		// Called when the game sends out an information message during the battle
 		public void onBattleMessage(BattleMessageEvent e) {
-//			 System.out.println("Msg> " + e.getMessage());
+			// System.out.println("Msg> " + e.getMessage());
 		}
 
 		// Called when the game sends out an error message during the battle