Lines Matching refs:CvANN_MLP
93 CvANN_MLP::CvANN_MLP()
104 CvANN_MLP::CvANN_MLP( const CvMat* _layer_sizes,
117 CvANN_MLP::~CvANN_MLP()
123 void CvANN_MLP::clear()
134 void CvANN_MLP::set_activ_func( int _activ_func, double _f_param1, double _f_param2 )
136 CV_FUNCNAME( "CvANN_MLP::set_activ_func" );
176 void CvANN_MLP::init_weights()
210 void CvANN_MLP::create( const CvMat* _layer_sizes, int _activ_func,
213 CV_FUNCNAME( "CvANN_MLP::create" );
266 float CvANN_MLP::predict( const CvMat* _inputs, CvMat* _outputs ) const
268 CV_FUNCNAME( "CvANN_MLP::predict" );
341 void CvANN_MLP::scale_input( const CvMat* _src, CvMat* _dst ) const
369 void CvANN_MLP::scale_output( const CvMat* _src, CvMat* _dst ) const
397 void CvANN_MLP::calc_activ_func( CvMat* sums, const double* bias ) const
476 void CvANN_MLP::calc_activ_func_deriv( CvMat* _xf, CvMat* _df,
566 void CvANN_MLP
608 void CvANN_MLP::calc_output_scale( const CvVectors* vecs, int flags )
620 CV_FUNCNAME( "CvANN_MLP::calc_output_scale" );
686 bool CvANN_MLP::prepare_to_train( const CvMat* _inputs, const CvMat* _outputs,
696 CV_FUNCNAME( "CvANN_MLP::prepare_to_train" );
816 int CvANN_MLP::train( const CvMat* _inputs, const CvMat* _outputs,
829 CV_FUNCNAME( "CvANN_MLP::train" );
876 int CvANN_MLP::train_backprop( CvVectors x0, CvVectors u, const double* sw )
884 CV_FUNCNAME( "CvANN_MLP::train_backprop" );
1049 int CvANN_MLP::train_rprop( CvVectors x0, CvVectors u, const double* sw )
1059 CV_FUNCNAME( "CvANN_MLP::train" );
1301 void CvANN_MLP::write_params( CvFileStorage* fs )
1303 //CV_FUNCNAME( "CvANN_MLP::write_params" );
1357 void CvANN_MLP::write( CvFileStorage* fs, const char* name )
1359 CV_FUNCNAME( "CvANN_MLP::write" );
1400 void CvANN_MLP::read_params( CvFileStorage* fs, CvFileNode* node )
1402 //CV_FUNCNAME( "CvANN_MLP::read_params" );
1464 void CvANN_MLP::read( CvFileStorage* fs, CvFileNode* node )
1468 CV_FUNCNAME( "CvANN_MLP::read" );
