From 0e664ba3ca87f2ab788f09b37654fcc4333a3e3e Mon Sep 17 00:00:00 2001
From: Ziver Koc <ziver@koc.se>
Date: Wed, 15 Nov 2017 15:38:00 +0100
Subject: [PATCH] added perceptron code body

---
 src/zutil/ml/neural/Perceptron.java | 43 +++++++++++++++++++++++++++--
 1 file changed, 40 insertions(+), 3 deletions(-)

diff --git a/src/zutil/ml/neural/Perceptron.java b/src/zutil/ml/neural/Perceptron.java
index 1192397..1ff6190 100755
--- a/src/zutil/ml/neural/Perceptron.java
+++ b/src/zutil/ml/neural/Perceptron.java
@@ -1,9 +1,46 @@
 package zutil.ml.neural;
 
 /**
- * This class represents one "nuron" in a neural network
+ * This class represents one "nuron" in a neural network.
+ *
+ * <p/><b>From Wikipedia: </b>
+ * <blockquote cite="https://en.wikipedia.org/wiki/Perceptron">
+ *     The perceptron is an algorithm for supervised learning of
+ *     binary classifiers (functions that can decide whether an
+ *     input, represented by a vector of numbers, belongs to some
+ *     specific class or not). It is a type of linear classifier,
+ *     i.e. a classification algorithm that makes its predictions based
+ *     on a linear predictor function combining a set of weights with
+ *     the feature vector.
+ * </blockquote>
  */
 public class Perceptron {
-    private float[] inputs;
-    private float[] inputWeights;
+
+    /** Internal classes **/
+
+    public static class InputConnection {
+        float weight;
+    }
+    public static class OutputConnection {
+        InputConnection target;
+    }
+
+    /** Class Fields **/
+
+    private InputConnection[] inputs;
+    private OutputConnection[] outputs;
+
+
+    public Perceptron(int inputCount, int outputCount){
+        inputs = new InputConnection[inputCount];
+        outputs = new OutputConnection[outputCount];
+    }
+
+
+    public InputConnection[] getInputs() {
+        return inputs;
+    }
+    public OutputConnection[] getOutputs() {
+        return outputs;
+    }
 }