# CvANN_MLP Member List

This is the complete list of members for CvANN_MLP, including all inherited members.

activ_func | CvANN_MLP | `[protected]`
calc_activ_func(CvMat *xf, const double *bias) const | CvANN_MLP | `[protected, virtual]`
calc_activ_func_deriv(CvMat *xf, CvMat *deriv, const double *bias) const | CvANN_MLP | `[protected, virtual]`
calc_input_scale(const CvVectors *vecs, int flags) | CvANN_MLP | `[protected, virtual]`
calc_output_scale(const CvVectors *vecs, int flags) | CvANN_MLP | `[protected, virtual]`
clear() | CvANN_MLP | `[virtual]`
create(const CvMat *layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) | CvANN_MLP | `[virtual]`
create(const cv::Mat &layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) | CvANN_MLP | `[virtual]`
CvANN_MLP() | CvANN_MLP |
CvANN_MLP(const CvMat *layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) | CvANN_MLP |
CvANN_MLP(const cv::Mat &layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) | CvANN_MLP |
CvStatModel() | CvStatModel |
default_model_name | CvStatModel | `[protected]`
f_param1 | CvANN_MLP | `[protected]`
f_param2 | CvANN_MLP | `[protected]`
GAUSSIAN enum value | CvANN_MLP |
get_layer_count() | CvANN_MLP | `[inline]`
get_layer_sizes() | CvANN_MLP | `[inline]`
get_weights(int layer) | CvANN_MLP | `[inline]`
IDENTITY enum value | CvANN_MLP |
init_weights() | CvANN_MLP | `[protected, virtual]`
layer_sizes | CvANN_MLP | `[protected]`
load(const char *filename, const char *name=0) | CvStatModel | `[virtual]`
max_buf_sz | CvANN_MLP | `[protected]`
max_count | CvANN_MLP | `[protected]`
max_val | CvANN_MLP | `[protected]`
max_val1 | CvANN_MLP | `[protected]`
min_val | CvANN_MLP | `[protected]`
min_val1 | CvANN_MLP | `[protected]`
NO_INPUT_SCALE enum value | CvANN_MLP |
NO_OUTPUT_SCALE enum value | CvANN_MLP |
params | CvANN_MLP | `[protected]`
predict(const CvMat *inputs, CV_OUT CvMat *outputs) const | CvANN_MLP | `[virtual]`
predict(const cv::Mat &inputs, cv::Mat &outputs) const | CvANN_MLP | `[virtual]`
prepare_to_train(const CvMat *_inputs, const CvMat *_outputs, const CvMat *_sample_weights, const CvMat *sampleIdx, CvVectors *_ivecs, CvVectors *_ovecs, double **_sw, int _flags) | CvANN_MLP | `[protected, virtual]`
read(CvFileStorage *fs, CvFileNode *node) | CvANN_MLP | `[virtual]`
read_params(CvFileStorage *fs, CvFileNode *node) | CvANN_MLP | `[protected, virtual]`
rng | CvANN_MLP | `[protected]`
sample_weights | CvANN_MLP | `[protected]`
save(const char *filename, const char *name=0) const | CvStatModel | `[virtual]`
scale_input(const CvMat *_src, CvMat *_dst) const | CvANN_MLP | `[protected, virtual]`
scale_output(const CvMat *_src, CvMat *_dst) const | CvANN_MLP | `[protected, virtual]`
set_activ_func(int _activ_func=SIGMOID_SYM, double _f_param1=0, double _f_param2=0) | CvANN_MLP | `[protected, virtual]`
SIGMOID_SYM enum value | CvANN_MLP |
train(const CvMat *inputs, const CvMat *outputs, const CvMat *sampleWeights, const CvMat *sampleIdx=0, CvANN_MLP_TrainParams params=CvANN_MLP_TrainParams(), int flags=0) | CvANN_MLP | `[virtual]`
train(const cv::Mat &inputs, const cv::Mat &outputs, const cv::Mat &sampleWeights, const cv::Mat &sampleIdx=cv::Mat(), CvANN_MLP_TrainParams params=CvANN_MLP_TrainParams(), int flags=0) | CvANN_MLP | `[virtual]`
train_backprop(CvVectors _ivecs, CvVectors _ovecs, const double *_sw) | CvANN_MLP | `[protected, virtual]`
train_rprop(CvVectors _ivecs, CvVectors _ovecs, const double *_sw) | CvANN_MLP | `[protected, virtual]`
UPDATE_WEIGHTS enum value | CvANN_MLP |
wbuf | CvANN_MLP | `[protected]`
weights | CvANN_MLP | `[protected]`
write(CvFileStorage *storage, const char *name) const | CvANN_MLP | `[virtual]`
write_params(CvFileStorage *fs) const | CvANN_MLP | `[protected, virtual]`
~CvANN_MLP() | CvANN_MLP | `[virtual]`
~CvStatModel() | CvStatModel | `[virtual]`

All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines