Classes | |
| struct | Layer |
Public Types | |
| enum | DISTANCE_MEASURE { EUCLIDEAN, KL, L2GMM } |
Public Member Functions | |
| SOFM (const char *netname, int InputSize, int x, int y) | |
| void | SetLearningRate (unsigned long long learning_time) |
| void | Train (float *Input, float *Target, double score) |
| void | organize (std::vector< double > &input) |
| void | organize (const Image< float > &input) |
| Image< float > | getMap () |
| Image< float > | getActMap () |
| Image< PixRGB< byte > > | getWeightsImage () |
| std::vector< float > | getWeights (const Point2D< int > loc) |
| void | ReadNet (const char *filename) |
| void | WriteNet (const char *filename) |
| double | RandomRange (double Low, double High) |
| double | RandomBinaryRange (double Low, double High) |
| double | Neighborhood (int i) |
| void | RandomWeights (int min=0, int max=255) |
| void | ZeroWeights () |
| void | SetInput (float *in) |
| void | setInput (const std::vector< double > &in) |
| void | setInput (const Image< float > &in) |
| void | Propagate (DISTANCE_MEASURE dm=EUCLIDEAN) |
| Point2D< int > | getWinner (double &val) |
| void | InitSofm () |
Public Attributes | |
| Layer * | InputLayer |
| Layer * | KohonenLayer |
| int | itsWinner |
| double | itsWinnerValue |
| int | itsLooser |
| double | itsLooserValue |
| int | MapSizeX |
| int | MapSizeY |
| const char * | name |
| double | KohonenAlpha |
| double | OutAlpha |
| double | StepAlpha |
| double | Gamma |
| double | Sigma |
| unsigned long long | itsLearningTime |
Definition at line 45 of file SOFM.H.
1.6.3