Johannes Lampel - Projects/SOMSim

Just some temp info on the main class ...

class DllExport qSOM2d
public:
	qSOM2d();	ctor
	~qSOM2d();	dtor
	int SetSize(long,long,long);	set size of map (Dim of Input,x,y) -> x=y isn't too useful
	int InitWeights(InitType);	...
	int SetInput(nVec_var *);	copies input into local class storage
	nVec_var Categorize(void);	cats input
	nVec_var Categorize(nVec_var*);	like the two above
	nVec_var CategorizeFast(void);	cats faster cause it neglects some (!) neurons
	nVec_var CategorizeFast(nVec_var*);	...
	void GetWinner(long &,long &);	finds 'nearest' neuron
	nVec_var *GetNWeights(long,long);	return the weight matrix of one neuron
	nVec_var GetDistP(void);	return stiffness param
	void SetDistP(nVec_var);	...
	nVec_var GetLRate(void);	return lRate
	void SetLRate(nVec_var);	...
	void SetNKFunction(nVec_var (*name)(const nVec_var&,const nVec_var&));	sets the pointer to the NK functions, which is set to fNKgauss1 by default
	void *GetNKFunction(void);	..
	void Save(const char *);	savin' data to file
	void Load(const char *);	loadin' data from file to mem
protected:
	long lXSize,lYSize,lNNeurons;	...
	long lRow;	lXSize * lNNeurons
	nVec_var *dp3Weights;	field of weights
	nVec_var *dp1Input;	input to be categorized or tested
	nVec_var dLearnrate;	...
	nVec_var dDistanceP;	stiffness param
	char *szVersion;	Just some information about this simulator
	nVec_var (*fNK)(const nVec_var&,const nVec_var&);	pointer to NK function
	nVec *pVDiff;	diff (updated by calling cat) between Input and Winner
private:

class DllExport SOMPattern
public:
	SOMPattern(const dim_c);	ctor
	~SOMPattern();	dtor
	int SetMaxPatternNum(const long);	max Number of Pattern - not yet able to copy data from old array to new and no dynamic alloc
	long AddPattern(const nVec_var *);	...
	long AddPattern(const nVec &);	... (-> calling AddPattern(const nVec_var *)
	int SetSOM(qSOM2d *);	setting som to be trained
	int TeachEpoch(const nVec_var&,const nVec_var&);	Teaching a full number of pattern and storing the errors ( return values of qSOM2d :: Categorize ) in a pattern related variable
	int TeachEpochFast(const nVec_var &,const nVec_var &);	same as above, only using qSOM2d::CategorizeFast
protected:
	SOMPatternElem *pFPattern;	Field of PatternElem instances with static size
	long lPDimNum;	Number of dimensions of every Pattern
	long lPNum;	Number of pattern
	long lActPPos;	Actual position of last elem ( lActPPos - 1 )
	qSOM2d * SActSOM;	som to be trained
private:

 

class DllExport SOMPattern
public:
	SOMPattern(const dim_c);	ctor
	~SOMPattern();	dtor
	int SetMaxPatternNum(const long);	max Number of Pattern - not yet able to copy data from old array to new and no dynamic alloc
	long AddPattern(const nVec_var *);	...
	long AddPattern(const nVec &);	... (-> calling AddPattern(const nVec_var *)
	int SetSOM(qSOM2d *);	setting som to be trained
	int TeachEpoch(const nVec_var&,const nVec_var&);	Teaching a full number of pattern and storing the errors ( return values of qSOM2d :: Categorize ) in a pattern related variable
	int TeachEpochFast(const nVec_var &,const nVec_var &);	same as above, only using qSOM2d::CategorizeFast
protected:
	SOMPatternElem *pFPattern;	Field of PatternElem instances with static size
	long lPDimNum;	Number of dimensions of every Pattern
	long lPNum;	Number of pattern
	long lActPPos;	Actual position of last elem ( lActPPos - 1 )
	qSOM2d * SActSOM;	som to be trained
private:

 

Source :
som.zip