Hey it's becoming damn cool...

examples/Makefile

@@ -8,3 +8,4 @@ clean:
 	rm doAdd
 	rm adderFromScratch
 	rm adder.net
+	rm adder.xml

examples/adder.xml

@@ -1,34 +0,0 @@
-<?xml version="1.0" encoding="iso-8859-1"?>
-<!DOCTYPE NETWORK SYSTEM "http://blacklight.gotdns.org/prog/neuralpp/trainer.dtd">
-
-<!--
-	Sample XML containing a training set that teach your network to do simple sums
-	between integer numbers
-
-	BlackLight, 2009
-	~ LibNeural++ project ~
--->
-
-<NETWORK NAME="adder">
-	<TRAINING ID="0">
-		<INPUT ID="1">3</INPUT>
-		<INPUT ID="2">2</INPUT>
-		<OUTPUT ID="3">5</OUTPUT>
-		<OUTPUT ID="4">1</OUTPUT>
-	</TRAINING>
-
-	<TRAINING ID="5">
-		<INPUT ID="6">5</INPUT>
-		<INPUT ID="7">3</INPUT>
-		<OUTPUT ID="8">8</OUTPUT>
-		<OUTPUT ID="9">2</OUTPUT>
-	</TRAINING>
-
-	<TRAINING ID="10">
-		<INPUT ID="11">6</INPUT>
-		<INPUT ID="12">3</INPUT>
-		<OUTPUT ID="13">9</OUTPUT>
-		<OUTPUT ID="14">3</OUTPUT>
-	</TRAINING>
-</NETWORK>
-

examples/adderFromScratch.cpp

@@ -12,16 +12,17 @@ using namespace std;
 using namespace neuralpp;
 
 int main()  {
-	NeuralNet net(2, 2, 2, 0.005, 1000);
+	NeuralNet net(2, 2, 2, 0.005, 100);
 	string xml;
 	double tmp;
+	int id = 0;
 
 	// XML initialization. Then, I say XML that 2+3=5, 3+3=6, 5+4=9
 	// Strings' format is "input1,input2,...,inputn;output1,output2,...,outputm
 	NeuralNet::initXML(xml);
-	xml += NeuralNet::XMLFromSet(0, "3,2;5,1");
-	xml += NeuralNet::XMLFromSet(1, "4,2;6,2");
-	xml += NeuralNet::XMLFromSet(2, "6,3;9,3");
+	xml += NeuralNet::XMLFromSet(id, "3,2;5,1");
+	xml += NeuralNet::XMLFromSet(id, "4,2;6,2");
+	xml += NeuralNet::XMLFromSet(id, "6,3;9,3");
 	NeuralNet::closeXML(xml);
 	cout << xml << endl;
 	

examples/doAdd.cpp

@@ -38,7 +38,7 @@ int main()  {
 
 	net.setInput(v);
 	net.propagate();
-	cout << "Neural net output: " << net.getOutputs()[0] << "; " << net.getOutputs()[1] << endl;
+	cout << "Neural net output: " << net.getOutput() << endl;
 
 	return 0;
 }

examples/learnAdd.cpp

@@ -7,19 +7,46 @@
  */
 
 #include <iostream>
+#include <fstream>
+#include <ctime>
 #include <neural++.hpp>
 
 using namespace std;
 using namespace neuralpp;
 
-int main()  {
-	NeuralNet net(2, 2, 2, 0.005, 1000);
+double f (double x)  {
+	return (1.0/(1.0 + pow(M_E,x)));
+}
 
+int main()  {
+	int id = 0;
+	string xml;
+	time_t t1, t2;
+	NeuralNet net(2, 2, 1, 0.005, 100);
+
+	NeuralNet::initXML(xml);
+	xml += NeuralNet::XMLFromSet(id, "2,3;5");
+	xml += NeuralNet::XMLFromSet(id, "3,2;5");
+	xml += NeuralNet::XMLFromSet(id, "6,2;8");
+	xml += NeuralNet::XMLFromSet(id, "2,2;4");
+	xml += NeuralNet::XMLFromSet(id, "1,2;3");
+	xml += NeuralNet::XMLFromSet(id, "-1,-2;-3");
+	xml += NeuralNet::XMLFromSet(id, "8,9;17");
+	xml += NeuralNet::XMLFromSet(id, "10,10;20");
+	NeuralNet::closeXML(xml);
+
+	ofstream out("adder.xml");
+	out << xml;
+	out.close();
+	cout << "Training file adder.xml has been written\n";
+
+	t1 = time(NULL);
 	cout << "Training in progress - This may take a while...\n";
 	net.train("adder.xml", NeuralNet::file);
+	t2 = time(NULL);
 
 	net.save("adder.net");
-	cout << "Network trained. You can use adder.net file now to load this network\n";
+	cout << "Network trained in " << (t2-t1) << " seconds. You can use adder.net file now to load this network\n";
 	return 0;
 }