From 33613a85afc4b1481367fbe92a17ee59c240250b Mon Sep 17 00:00:00 2001
From: Sven Eisenhauer <sven@sven-eisenhauer.net>
Date: Fri, 10 Nov 2023 15:11:48 +0100
Subject: add new repo

---
 .../Aufgabenblatt3/MLP/src/MLPConfig.h             | 164 +++++++++++++++++++++
 1 file changed, 164 insertions(+)
 create mode 100644 Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLPConfig.h

(limited to 'Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLPConfig.h')

diff --git a/Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLPConfig.h b/Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLPConfig.h
new file mode 100644
index 0000000..0d7cd21
--- /dev/null
+++ b/Master/Modellbildung_und_Simulation/Aufgabenblatt3/MLP/src/MLPConfig.h
@@ -0,0 +1,164 @@
+/*
+ * MLPConfig.h
+ *
+ *  Created on: 09.06.2011
+ *      Author: sven
+ */
+
+#ifndef MLPCONFIG_H_
+#define MLPCONFIG_H_
+
+#include <boost/cstdint.hpp>
+#include <vector>
+#include <fstream>
+
+using namespace std;
+using namespace boost;
+
+typedef vector< vector<double> > Weights;
+
+class MLPConfig {
+public:
+	MLPConfig();
+	MLPConfig(const char* configfile);
+	virtual ~MLPConfig();
+
+    enum UPDATE_MODE
+	{
+		UPDATE_MODE_SINGLE,
+		UPDATE_MODE_BATCH
+	};
+	enum OUTPUT_TRANSFER_FUNC
+	{
+		OUTPUT_TRANSFER_FUNC_NORMAL
+	};
+
+    double getLernrate() const
+    {
+        return mLernrate;
+    }
+
+    double getMomentum() const
+    {
+        return mMomentum;
+    }
+
+    uint32_t getNumHiddenNeurons() const
+    {
+        return mNumHiddenNeurons;
+    }
+
+    uint32_t getNumInputNeurons() const
+    {
+        return mNumInputNeurons;
+    }
+
+    uint32_t getNumOutputNeurons() const
+    {
+        return mNumOutputNeurons;
+    }
+
+    OUTPUT_TRANSFER_FUNC getOutputTransferFunc() const
+    {
+        return mOutputTransferFunc;
+    }
+
+    UPDATE_MODE getUpdateMode() const
+    {
+        return mUpdateMode;
+    }
+
+    void setLernrate(double mLernrate)
+    {
+        this->mLernrate = mLernrate;
+    }
+
+    void setMomentum(double mMomentum)
+    {
+        this->mMomentum = mMomentum;
+    }
+
+    void setNumHiddenNeurons(uint32_t mNumHiddenNeurons)
+    {
+        this->mNumHiddenNeurons = mNumHiddenNeurons;
+    }
+
+    void setNumInputNeurons(uint32_t mNumInputNeurons)
+    {
+        this->mNumInputNeurons = mNumInputNeurons;
+    }
+
+    void setNumOutputNeurons(uint32_t mNumOutputNeurons)
+    {
+        this->mNumOutputNeurons = mNumOutputNeurons;
+    }
+
+    void setOutputTransferFunc(OUTPUT_TRANSFER_FUNC mOutputTransferFunc)
+    {
+        this->mOutputTransferFunc = mOutputTransferFunc;
+    }
+
+    void setUpdateMode(UPDATE_MODE mUpdateMode)
+    {
+        this->mUpdateMode = mUpdateMode;
+    }
+
+    bool isValid(){
+    	return mValid;
+    }
+
+    const Weights& getWeights() const {
+    	return mWeights;
+    }
+
+    const double& getErrorThreshold() const {
+    	return mErrorThreshold;
+    }
+
+    void setErrorThreshold(double e) {
+    	mErrorThreshold = e;
+    }
+
+    const double& getConfigAcceptanceErrorThreshold() const {
+    	return mConfigAcceptanceErrorThreshold;
+    }
+
+    void setConfigAcceptanceErrorThreshold(double e) {
+    	mConfigAcceptanceErrorThreshold = e;
+    }
+
+    uint32_t getNumTrainingCycles() const {
+    	return mNumTrainingCycles;
+    }
+
+    void setNumTrainingCycles(uint32_t c)
+    {
+    	mNumTrainingCycles=c;
+    }
+
+    void dump();
+    void initWeights(bool);
+    bool parseConfigfile(const char*);
+
+private:
+	uint32_t mNumInputNeurons;
+	uint32_t mNumHiddenNeurons;
+	uint32_t mNumOutputNeurons;
+	UPDATE_MODE mUpdateMode;
+	OUTPUT_TRANSFER_FUNC mOutputTransferFunc;
+	double mLernrate;
+	double mMomentum;
+	Weights mWeights;
+	bool mValid;
+	double mErrorThreshold;
+	uint32_t mNumTrainingCycles;
+	double mConfigAcceptanceErrorThreshold;
+
+	bool parseConfigfile(ifstream&);
+	bool parseLine(string&);
+	uint32_t toUint32(const string&);
+	double toDouble(const string &);
+	double getRandomWeight();
+};
+
+#endif /* MLPCONFIG_H_ */
-- 
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