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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_ */
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