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diff --git a/Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLP.h b/Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLP.h
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+++ b/Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLP.h
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+/*
+ * MLP.h
+ *
+ *  Created on: 09.06.2011
+ *      Author: sven
+ */
+
+#ifndef MLP_H_
+#define MLP_H_
+
+#include "MLPConfig.h"
+#include <boost/thread.hpp> 
+
+typedef vector<double> Activity;
+typedef vector<double> Delta;
+typedef vector<double> Pattern;
+typedef vector<double> Target;
+typedef vector<double> Output;
+
+struct Trainingpair {
+    Pattern mPattern;
+    Target mTarget;
+};
+
+typedef vector<Trainingpair> Traindata;
+
+class MLP {
+public:
+	MLP(const MLPConfig&);
+	virtual ~MLP();
+    void train(const Traindata&, const Traindata&, const uint32_t, const std::string&);
+    void propagate(const Pattern&, Output& result);
+    void stop();
+
+private:
+	uint32_t mStartHidden;
+	uint32_t mStartOutput;
+	uint32_t mNoNeuron;
+	Weights mWeights;
+	Activity mActivity;
+	Delta mDelta;
+	Weights mDeltaWeights;
+	Weights mOldUpdate;
+	double mMomentum;
+	double mLernrate;
+	const MLPConfig& mConfig;
+	double mOldError;
+	Weights mOldWeights;
+	bool mTrainSuccess;
+    bool mDoStop;
+    boost::mutex mMutex;
+
+    double sigmoid(const double&);
+    void propagate(const Pattern&);
+    void back_propagate(const Target&);
+    void update_weight();
+    void reset_delta();
+    double validate(const Traindata&);
+    void dump();
+    void writeWeightsToFile(const string&, const Weights&);
+    bool isStop();
+};
+
+#endif /* MLP_H_ */