per page, with , order by , clip by
Results of 0 - 1 of about 0 (0.000 sec.)
pktools: Member List
@digest: ae7ecf5b92d5c4f67bc3bdf4bfe59cba
@id: 149579
@mdate: 2021-02-23T07:54:01Z
@size: 47932
@type: text/html
content-type: text/xhtml;charset=UTF-8
generator: Doxygen 1.8.13
viewport: width=device-width, initial-scale=1
x-ua-compatible: IE=9
#keywords: fann (234767), neural (183856), cascade (55352), epochs (42328), rprop (33916), activation (23357), steepness (22969), quickprop (21794), stagnation (19903), steepnesses (18033), descale (16171), inline (15310), cascadetrain (12773), net (11767), defined (10017), candidate (9173), neurons (7785), convector (7538), initweights (7389), referencevector (6648), train (5912), training (5756), unsigned (5632), momentum (5387), outputvector (5252), layers (4746), neuron (4081), vector2d (3380), multiplier (3305), weight (2967), desired (2824), vector (2503)
pktools 2.6.7 Processing Kernel for geospatial data FANN neural_net FANN::neural_net Member List This is the complete list of members for FANN::neural_net , including all inherited members. ann (defined in FANN::neural_net ) FANN::neural_net protected cascadetrain_on_data (const training_data &data, unsigned int max_neurons, unsigned int neurons_between_reports, float desired_error) (defined in FANN::neural_net ) FANN::neural_net inline cascadetrain_on_file (const std::string &filename, unsigned int max_neurons, unsigned int neurons_between_reports, float desired_error) (defined in FANN::neural_net ) FANN::neural_net inline clear_scaling_params () (defined in FANN::neural_net ) FANN::neural_net inline create_from_file (const std::string &configuration_file) (defined in FANN::neural_net ) FANN::neural_net inline create_shortcut (unsigned int num_layers,...) (defined in FANN::neural_net ) FANN::neural_net inline create_shortcut_array (unsigned int num_layers, const unsigned int *layers) (defined in FANN::neural_net ) FANN::neural_net inline create_sparse (float connection_rate, unsigned int num_layers,...) (defined in FANN::neural_net ) FANN::neural_net inline create_sparse_array (float connection_rate, unsigned int num_layers, const unsigned int *layers) (defined in FANN::neural_net ) FANN::neural_net inline create_standard (unsigned int num_layers,...) (defined in FANN::neural_net ) FANN::neural_net inline create_standard_array (unsigned int num_layers, const unsigned int *layers) (defined in FANN::neural_net ) FANN::neural_net inline cross_validation (std::vector< Vector2d< fann_type > > &trainingFeatures, unsigned int ntraining, unsigned short cv, unsigned int max_epochs, float desired_error, std::vector< unsigned short > &referenceVector, std::vector< unsigned short > &outputVector, short verbose=0) (defined in FANN::neural_net ) FANN::neural_net inline cross_validation (std::vector< std::vector< fann_type > > &input, std::vector< std::vector< fann_type > > &output, unsigned short cv, unsigned int max_epochs, float desired_error, std::vector< std::vector< fann_type > > &referenceVector, std::vector< std::vector< fann_type > > &outputVector, short verbose=0) (defined in FANN::neural_net ) FANN::neural_net inline descale_input (fann_type *input_vector) (defined in FANN::neural_net ) FANN::neural_net inline descale_output (fann_type *output_vector) (defined in FANN::neural_net ) FANN::neural_net inline descale_train (training_data &data) (defined in FANN::neural_net ) FANN::neural_net inline destroy () (defined in FANN::neural_net ) FANN::neural_net inline get_activation_function (int layer, int neuron) (defined in FANN::neural_net ) FANN::neural_net inline get_activation_steepness (int layer, int neuron) (defined in FANN::neural_net ) FANN::neural_net inline get_bias_array (unsigned int *bias) (defined in FANN::neural_net ) FANN::neural_net inline get_bit_fail () (defined in FANN::neural_net ) FANN::neural_net inline get_bit_fail_limit () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_activation_functions () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_activation_functions_count () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_activation_steepnesses () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_activation_steepnesses_count () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_candidate_change_fraction () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_candidate_limit () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_candidate_stagnation_epochs () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_max_cand_epochs () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_max_out_epochs () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_num_candidate_groups () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_num_candidates () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_output_change_fraction () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_output_stagnation_epochs () (defined in FANN::neural_net ) FANN::neural_net inline get_cascade_weight_multiplier () (defined in FANN::neural_net ) FANN::neural_net inline get_connection_array (connection *connections) (defined in FANN::neural_net ) FANN::neural_net inline get_connection_array (std::vector< connection > &convector) (defined in FANN::neural_net ) FANN::neural_net inline get_connection_rate () (defined in FANN::neural_net ) FANN::neural_net inline get_errno () (defined in FANN::neural_net ) FANN::neural_net inline get_errstr () (defined in FANN::neural_net ) FANN::neural_net inline get_layer_array (unsigned int *layers) (defined in FANN::neural_net ) FANN::neural_net inline get_layer_array (std::vector< unsigned int > vlayers) (defined in FANN::neural_net ) FANN::neural_net inline get_learning_momentum () (defined in FANN::neural_net ) FANN::neural_net inline get_learning_rate () (defined in FANN::neural_net ) FANN::neural_net inline get_MSE () (defined in FANN::neural_net ) FANN::neural_net inline get_network_type () (defined in FANN::neural_net ) FANN::neural_net inline get_num_input () (defined in FANN::neural_net ) FANN::neural_net inline get_num_layers () (defined in FANN::neural_net ) FANN::neural_net inline get_num_output () (defined in FANN::neural_net ) FANN::neural_net inline get_quickprop_decay () (defined in FANN::neural_net ) FANN::neural_net inline get_quickprop_mu () (defined in FANN::neural_net ) FANN::neural_net inline get_rprop_decrease_factor () (defined in FANN::neural_net ) FANN::neural_net inline get_rprop_delta_max () (defined in FANN::neural_net ) FANN::neural_net inline get_rprop_delta_min () (defined in FANN::neural_net ) FANN::neural_net inline get_rprop_increase_factor () (defined in FANN::neural_net ) FANN::neural_net inline get_total_connections () (defined in FANN::neural_net ) FANN::neural_net inline get_total_neurons () (defined in FANN::neural_net ) FANN::neural_net inline get_train_error_function () (defined in FANN::neural_net ) FANN::neural_net inline get_train_stop_function () (defined in FANN::neural_net ) FANN::neural_net inline get_training_algorithm () (defined in FANN::neural_net ) FANN::neural_net inline init_weights (const training_data &data) (defined in FANN::neural_net ) FANN::neural_net inline neural_net () (defined in FANN::neural_net ) FANN::neural_net inline print_connections () (defined in FANN::neural_net ) FANN::neural_net inline print_error () (defined in FANN::neural_net ) FANN::neural_net inline print_parameters () (defined in FANN::neural_net ) FANN::neural_net inline randomize_weights (fann_type min_weight, fann_type max_weight) (defined in FANN::neural_net ) FANN::neural_net inline reset_errno () (defined in FANN::neural_net ) FANN::neural_net inline reset_errstr () (defined in FANN::neural_net ) FANN::neural_net inline reset_MSE () (defined in FANN::neural_net ) FANN::neural_net inline run (fann_type *input) (defined in FANN::neural_net ) FANN::neural_net inline run (std::vector< fann_type > input) (defined in FANN::neural_net ) FANN::neural_net inline save (const std::string &configuration_file) (defined in FANN::neural_net ) FANN::neural_net inline save_to_fixed (const std::string &configuration_file) (defined in FANN::neural_net ) FANN::neural_net inline scale_input (fann_type *input_vector) (defined in FANN::neural_net ) FANN::neural_net inline scale_output (fann_type *output_vector) (defined in FANN::neural_net ) FANN::neural_net inline scale_train (training_data &data) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_function (activation_function_enum activation_function, int layer, int neuron) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_function_hidden (activation_function_enum activation_function) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_function_layer (activation_function_enum activation_function, int layer) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_function_output (activation_function_enum activation_function) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_steepness (fann_type steepness, int layer, int neuron) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_steepness_hidden (fann_type steepness) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_steepness_layer (fann_type steepness, int layer) (defined in FANN::neural_net ) FANN::neural_net inline set_activation_steepness_output (fann_type steepness) (defined in FANN::neural_net ) FANN::neural_net inline set_bit_fail_limit (fann_type bit_fail_limit) (defined in FANN::neural_net ) FANN::neural_net inline set_callback (callback_type callback, void *user_data) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_activation_functions (activation_function_enum *cascade_activation_functions, unsigned int cascade_activation_functions_count) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_activation_steepnesses (fann_type *cascade_activation_steepnesses, unsigned int cascade_activation_steepnesses_count) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_candidate_change_fraction (float cascade_candidate_change_fraction) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_candidate_limit (fann_type cascade_candidate_limit) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_candidate_stagnation_epochs (unsigned int cascade_candidate_stagnation_epochs) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_max_cand_epochs (unsigned int cascade_max_cand_epochs) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_max_out_epochs (unsigned int cascade_max_out_epochs) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_num_candidate_groups (unsigned int cascade_num_candidate_groups) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_output_change_fraction (float cascade_output_change_fraction) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_output_stagnation_epochs (unsigned int cascade_output_stagnation_epochs) (defined in FANN::neural_net ) FANN::neural_net inline set_cascade_weight_multiplier (fann_type cascade_weight_multiplier) (defined in FANN::neural_net ) FANN::neural_net inline set_error_log (FILE *log_file) (defined in FANN::neural_net ) FANN::neural_net inline set_input_scaling_params (const training_data &data, float new_input_min, float new_input_max) (defined in FANN::neural_net ) FANN::neural_net inline set_learning_momentum (float learning_momentum) (defined in FANN::neural_net ) FANN::neural_net inline set_learning_rate (float learning_rate) (defined in FANN::neural_net ) FANN::neural_net inline set_output_scaling_params (const training_data &data, float new_output_min, float new_output_max) (defined in FANN::neural_net ) FANN::neural_net inline set_quickprop_decay (float quickprop_decay) (defined in FANN::neural_net ) FANN::neural_net inline set_quickprop_mu (float quickprop_mu) (defined in FANN::neural_net ) FANN::neural_net inline set_rprop_decrease_factor (float rprop_decrease_factor) (defined in FANN::neural_net ) FANN::neural_net inline set_rprop_delta_max (float rprop_delta_max) (defined in FANN::neural_net ) FANN::neural_net inline set_rprop_delta_min (float rprop_delta_min) (defined in FANN::neural_net ) FANN::neural_net inline set_rprop_increase_factor (float rprop_increase_factor) (defined in FANN::neural_net ) FANN::neural_net inline set_scaling_params (const training_data &data, float new_input_min, float new_input_max, float new_output_min, float new_output_max) (defined in FANN::neural_net ) FANN::neural_net inline set_train_error_function (error_function_enum train_error_function) (defined in FANN::neural_net ) FANN::neural_net inline set_train_stop_function (stop_function_enum train_stop_function) (defined in FANN::neural_net ) FANN::neural_net inline set_training_algorithm (training_algorithm_enum training_algorithm) (defined in FANN::neural_net ) FANN::neural_net inline set_weight (unsigned int from_neuron, unsigned int to_neuron, fann_type weight) (defined in FANN::neural_net ) FANN::neural_net inline set_weight_array (connection *connections, unsigned int num_connections) (defined in FANN::neural_net ) FANN::neural_net inline set_weight_array (std::vector< connection > convector) (defined in FANN::neural_net ) FANN::neural_net inline test (fann_type *input, fann_type *desired_output) (defined in FANN::neural_net ) FANN::neural_net inline test_data (const training_data &data) (defined in FANN::neural_net ) FANN::neural_net inline test_data (const std::vector< Vector2d< fann_type > > &input, unsigned int num_data) (defined in FANN::neural_net ) FANN::neural_net inline train (fann_type *input, fann_type *desired_output) (defined in FANN::neural_net ) FANN::neural_net inline train_epoch (const training_data &data) (defined in FANN::neural_net ) FANN::neural_net inline train_on_data (const training_data &data, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error) (defined in FANN::neural_net ) FANN::neural_net inline train_on_data (const std::vector< std::vector< fann_type > > &input, const std::vector< std::vector< fann_type > > &output, bool initWeights, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error) (defined in FANN::neural_net ) FANN::neural_net inline train_on_data (const std::vector< Vector2d< fann_type > > &input, unsigned int num_data, bool initWeights, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error) (defined in FANN::neural_net ) FANN::neural_net inline train_on_file (const std::string &filename, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error) (defined in FANN::neural_net ) FANN::neural_net inline ~neural_net () (defined in FANN::neural_net ) FANN::neural_net inline Generated on Tue Feb 23 2021 08:50:21 for pktools by 1.8.13 ...
http://www.gnu.org/savannah-checkouts/non-gnu/pktools/html/classFANN_1_1neural__net-members.html - [detail] - [similar]
PREV NEXT
Powered by Hyper Estraier 1.4.13, with 213361 documents and 1081398 words.