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pktools
2.6.7
Processing Kernel for geospatial data
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pktools
2.6.7
Processing Kernel for geospatial data
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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 |
1.8.13