Started work on neurons

src/battle/controllers/PiersController.java

@@ -2,15 +2,79 @@ package battle.controllers;
 
 import asteroids.Action;
 import battle.BattleController;
+import battle.NeuroShip;
 import battle.SimpleBattle;
 
+import java.util.Random;
+
 /**
  * Created by pwillic on 11/06/2015.
+ *
+ * Features to use for avoidance
+ *
+ *  1. Distance to enemy - 0 very close, 1 very far
+ *  2. Enemy in FL - 0 no, 1 yes
+ *  3. Enemy in FR
+ *  4. Enemy in BL
+ *  5. Enemy in BR
+ *
+ *  Features to use for shooting
+ *  1. Distance to enemy
+ *  2. Deviance from dead straight Left - 0.5 no deviance, 0 full left, 1 full right
+ *  3. Missiles Remaining
+ *
+ *  Features to use for aligning
+ *  1. Distance to enemy
+ *  2. Deviance from enemy
+ *  3.
  */
 public class PiersController implements BattleController {
+    Neuron tinyBrain;
+
+
+    public PiersController() {
+        tinyBrain = new Neuron(10);
+    }
+
 
     @Override
     public Action getAction(SimpleBattle gameStateCopy, int playerId) {
+
+        double[] avoidanceTable = new double[5];
+        double[] shootingTable = new double[3];
+
+
         return null;
     }
 }
+
+class Neuron {
+    private static Random random = new Random();
+    int numberOfInputs;
+    double[] neuronWeights;
+
+    // Random neuron
+    public Neuron(int numberOfInputs) {
+        this.numberOfInputs = numberOfInputs;
+        this.neuronWeights = new double[numberOfInputs];
+        for (int i = 0; i < neuronWeights.length; i++) {
+            neuronWeights[i] = random.nextDouble();
+        }
+    }
+
+    // clone a neuron / make one
+    public Neuron(double[] neuronWeights) {
+        this.numberOfInputs = neuronWeights.length;
+        this.neuronWeights = neuronWeights;
+    }
+
+    public double think(double[] inputs) {
+        if (inputs.length != numberOfInputs)
+            throw new IllegalArgumentException("Wrong number of inputs" + inputs.length + " - should be: " + numberOfInputs);
+        double totalSum = 0;
+        for (int index = 0; index < numberOfInputs; index++) {
+            totalSum += (inputs[index] * neuronWeights[index]);
+        }
+        return totalSum;
+    }
+}
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