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FannWrapperDouble
neural_net
destroy
FannWrapperDouble.neural_net.destroy C# (CSharp) Метод
Документация по классу neural_net
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destroy()
публичный
Метод
public
destroy
( ) :
void
Результат
void
public void destroy() { fanndoublePINVOKE.neural_net_destroy(swigCPtr); }
neural_net
Dispose
cascadetrain_on_data
cascadetrain_on_file
clear_scaling_params
copy_from_struct_fann
create_from_file
create_shortcut
create_shortcut_array
create_sparse
create_sparse_array
create_standard
create_standard_array
descale_input_
descale_output_
descale_train
destroy
disable_seed_rand
enable_seed_rand
getCPtr
get_MSE
get_activation_function
get_activation_steepness
get_bias_array
get_bit_fail
get_bit_fail_limit
get_cascade_activation_functions
get_cascade_activation_functions_count
get_cascade_activation_steepnesses
get_cascade_activation_steepnesses_count
get_cascade_candidate_change_fraction
get_cascade_candidate_limit
get_cascade_candidate_stagnation_epochs
get_cascade_max_cand_epochs
get_cascade_max_out_epochs
get_cascade_num_candidate_groups
get_cascade_num_candidates
get_cascade_output_change_fraction
get_cascade_output_stagnation_epochs
get_cascade_weight_multiplier
get_connection_array
get_connection_rate
get_errno
get_errstr
get_layer_array
get_learning_momentum
get_learning_rate
get_network_type
get_num_input
get_num_layers
get_num_output
get_quickprop_decay
get_quickprop_mu
get_rprop_decrease_factor
get_rprop_delta_max
get_rprop_delta_min
get_rprop_delta_zero
get_rprop_increase_factor
get_sarprop_step_error_shift
get_sarprop_step_error_threshold_factor
get_sarprop_temperature
get_sarprop_weight_decay_shift
get_total_connections
get_total_neurons
get_train_error_function
get_train_stop_function
get_training_algorithm
init_weights
neural_net
print_connections
print_error
print_parameters
randomize_weights
reset_MSE
reset_errno
reset_errstr
run
save
save_to_fixed
scale_input
scale_output
scale_train
set_activation_function
set_activation_function_hidden
set_activation_function_layer
set_activation_function_output
set_activation_steepness
set_activation_steepness_hidden
set_activation_steepness_layer
set_activation_steepness_output
set_bit_fail_limit
set_callback
set_cascade_activation_functions
set_cascade_activation_steepnesses
set_cascade_candidate_change_fraction
set_cascade_candidate_limit
set_cascade_candidate_stagnation_epochs
set_cascade_max_cand_epochs
set_cascade_max_out_epochs
set_cascade_num_candidate_groups
set_cascade_output_change_fraction
set_cascade_output_stagnation_epochs
set_cascade_weight_multiplier
set_error_log
set_input_scaling_params
set_learning_momentum
set_learning_rate
set_output_scaling_params
set_quickprop_decay
set_quickprop_mu
set_rprop_decrease_factor
set_rprop_delta_max
set_rprop_delta_min
set_rprop_delta_zero
set_rprop_increase_factor
set_sarprop_step_error_shift
set_sarprop_step_error_threshold_factor
set_sarprop_temperature
set_sarprop_weight_decay_shift
set_scaling_params
set_train_error_function
set_train_stop_function
set_training_algorithm
set_weight
set_weight_array
test
test_data
to_fann
train
train_epoch
train_on_data
train_on_file