| class DllExport
qSOM2d
|
|---|
| public:
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| qSOM2d(); | ctor
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| ~qSOM2d(); | dtor
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| int SetSize(long,long,long); | set size of map (Dim of Input,x,y) -> x=y isn't too useful
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| int InitWeights(InitType); | ...
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| int SetInput(double *); | copies input into local class storage
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| double Categorize(void); | cats input
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| double Categorize(double*); | like the two above
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| double CategorizeFast(void); | cats faster cause it neglects some (!) neurons
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| double CategorizeFast(double*); | ...
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| void GetWinner(long &,long &); | finds 'nearest' neuron
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| double *GetNWeights(long,long); | return the weight matrix of one neuron
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| double GetDistP(void); | return stiffness param
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| void SetDistP(double); | ...
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| double GetLRate(void); | return lRate
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| void SetLRate(double); | ...
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| void SetNKFunction(double (*name)(const double&,const double&)); | sets the pointer to the NK functions, which is set to fNKgauss1 by default
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| void *GetNKFunction(void); | ..
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| void Save(const char *); | savin' data to file
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| void Load(const char *); | loadin' data from file to mem
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| protected:
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| long lXSize,lYSize,lNNeurons; | ...
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| long lRow; | lXSize * lNNeurons
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| double *dp3Weights; | field of weights
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| double *dp1Input; | input to be categorized or tested
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| double dLearnrate; | ...
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| double dDistanceP; | stiffness param
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| char *szVersion; | Just some information about this simulator
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| double (*fNK)(const double&,const double&); | pointer to NK function
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| nVec *pVDiff; | diff (updated by calling cat) between Input and Winner
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| private: |
| class DllExport
nVec
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|---|
| friend nVec operator
*(double,nVec&);
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| friend class SOMPattern;
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| public:
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| nVec(); | ctor
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| nVec(const dim_c); | ctor
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| nVec(const dim_c,const double * const); | ctor
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| nVec(const nVec &); | ctor
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| virtual ~nVec(); | dtor
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| | double Length(void); | ...
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| int Normalize(void); | ...
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| int GetVec(double *); | copy data from field into this class
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| int SetMemVec(double *); | set ddpDim to Param and iType to nVT_mem - be careful, you havn't a copy of this data, your changing the original data
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| int ConvMemtoCopy(void); | convert a Mem - typed instance of this class to a instance, which contains a copy of this data items - alloc mem and copy
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| int SetVec(double *); | copy data from class to field
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| double SQuadr(void); | return sum of all quadrs of comps
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| int SetNumDim(const dim_c);
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| virtual const nVec & operator = (const nVec &); | ...
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| virtual const nVec & operator +=(const nVec &); | ...
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| virtual const nVec & operator -=(const nVec &); | ...
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| virtual const nVec & operator *=(const double); | ...
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| virtual const nVec & operator /=(const double); | ...
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| virtual nVec operator +(const nVec &); | ...
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| virtual nVec operator -(const nVec &); | ...
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| virtual nVec operator *(const double); | ...
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| virtual nVec operator /(const double); | ...
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| virtual double & operator [](long); | return value of [dimension] component
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| protected:
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| double *ppdDim; | data items
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| long lCDim; | number of dimensions
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| int iType; | copy data or set pointer to data
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| private: |
| class DllExport
SOMPattern
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|---|
| public:
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| SOMPattern(const dim_c); | ctor
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| ~SOMPattern(); | dtor
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| int SetMaxPatternNum(const long); | max Number of Pattern - not yet able to copy data from old array to new and no dynamic alloc
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| long AddPattern(const double *); | ...
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| long AddPattern(const nVec &); | ... (-> calling AddPattern(const double *)
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| int SetSOM(qSOM2d *); | setting som to be trained
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| int TeachEpoch(const double&,const double&); | Teaching a full number of pattern and storing the errors ( return values of qSOM2d :: Categorize ) in a pattern related variable
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| int TeachEpochFast(const double &,const double &); | same as above, only using qSOM2d::CategorizeFast
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| protected:
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| SOMPatternElem *pFPattern; | Field of PatternElem instances with static size
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| long lPDimNum; | Number of dimensions of every Pattern
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| long lPNum; | Number of pattern
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| long lActPPos; | Actual position of last elem ( lActPPos - 1 )
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| qSOM2d * SActSOM; | som to be trained
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| private:
|