tests cleaning

tests/backpropagation.cpp

@@ -1,8 +1,13 @@
 #include <NeuralNetwork/FeedForward/Network.h>
 #include <NeuralNetwork/Learning/BackPropagation.h>
+#include <NeuralNetwork/ActivationFunction/HyperbolicTangent.h>
+
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Weffc++"
 
 #include <gtest/gtest.h>
 
+#pragma GCC diagnostic pop
 TEST(BackProp,XOR) {
 	NeuralNetwork::FeedForward::Network n(2);
 	NeuralNetwork::ActivationFunction::Sigmoid a(-1);
@@ -41,10 +46,47 @@ TEST(BackProp,XOR) {
 	}
 }
 
+TEST(BackProp,XORHyperbolicTangent) {
+	NeuralNetwork::FeedForward::Network n(2);
+	NeuralNetwork::ActivationFunction::HyperbolicTangent a(-1);
+	n.appendLayer(2,a);
+	n.appendLayer(1,a);
+
+	n.randomizeWeights();
+
+	NeuralNetwork::Learning::BackPropagation prop(n);
+
+	for(int i=0;i<10000;i++) {
+		prop.teach({1,0},{1});
+		prop.teach({1,1},{0});
+		prop.teach({0,0},{0});
+		prop.teach({0,1},{1});
+	}
+
+	{
+		std::vector<float> ret =n.computeOutput({1,1});
+		ASSERT_LT(ret[0], 0.1);
+	}
+
+	{
+		std::vector<float> ret =n.computeOutput({0,1});
+		ASSERT_GT(ret[0], 0.9);
+	}
+
+	{
+		std::vector<float> ret =n.computeOutput({1,0});
+		ASSERT_GT(ret[0], 0.9);
+	}
+
+	{
+		std::vector<float> ret =n.computeOutput({0,0});
+		ASSERT_LT(ret[0], 0.1);
+	}
+}
+
 TEST(BackProp,AND) {
 	NeuralNetwork::FeedForward::Network n(2);
 	NeuralNetwork::ActivationFunction::Sigmoid a(-1);
-	n.appendLayer(2,a);
 	n.appendLayer(1,a);
 
 	n.randomizeWeights();