--- a/trunk/aid/nn/perceptron.d	Sat Apr 05 23:41:30 2008 -0600
+++ b/trunk/aid/nn/perceptron.d	Fri Apr 11 18:12:55 2008 -0600
@@ -1,38 +1,10 @@
 module aid.nn.perceptron;
 
-import std.random;
+import aid.nn.outputFunctions;
+import aid.misc;
 import std.math;
 import std.string;
 
-double rnd(){ // The function that should be included in every math library!
-	return (cast(double)rand())/uint.max;
-}
-
-class InputException : Exception {
-	this(char[] message){
-		super(message);
-	}
-}
-
-// The output functions
-
-alias double function(double) OutputFunction;
-
-double sign(double y){
-	if(y>0) return 1;
-	return -1;
-}
-
-double sigmoid(double x){
-	return 1/(1+exp(-x));
-}
-
-double tanh(double x){
-	return cast(double)tanh(cast(real)x);
-}
-
-// End output functions
-
 
 class perceptron {
 	private int numInputs;
@@ -42,7 +14,7 @@
 	
 	/**
 	 * This is the constructor for loading the neural network from a string.
-	 * 
+	 *
 	 * Params:
 	 *  savedString = The string that was output from the save function.
 	 *
@@ -74,10 +46,10 @@
 	
 	/**
 	 * Evaluates the neural network.
-	 * 
+	 *
 	 * Params:
 	 *  inputs = The set of inputs to evaluate.
-	 * 
+	 *
 	 * Returns: 1 to indicate true, -1 for false
 	 */
 
@@ -117,7 +89,7 @@
 
 	/**
 	 * Calculates the error based on the sum squared error function.
-	 * 
+	 *
 	 * Params:
 	 *  inputs = An array of arrays of all testing inputs.
 	 *  outputs = An array of all the outputs that the cooresponding inputs should have.
@@ -140,3 +112,4 @@
 	}
 }
 
+// TODO: Impliment loading and saving of files
\ No newline at end of file