fann_get_learning_rate
(PECL fann >= 1.0.0)
fann_get_learning_rate — Returns the learning rate
Описание
float fann_get_learning_rate
( resource
$ann
)
The learning rate is used to determine how aggressive training should be for some of the training algorithms
(FANN_TRAIN_INCREMENTAL, FANN_TRAIN_BATCH, FANN_TRAIN_QUICKPROP).
Do however note that it is not used in FANN_TRAIN_RPROP.
The default learning rate is 0.7.
Список параметров
-
ann -
Ресурс (resource) нейронной сети.
Возвращаемые значения
The learning rate, or FALSE on error.
Смотрите также
- fann_set_learning_rate() - Sets the learning rate
- fann_set_training_algorithm() - Sets the training algorithm
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- FANN (Fast Artificial Neural Network)
- fann_cascadetrain_on_data
- fann_cascadetrain_on_file
- fann_clear_scaling_params
- fann_copy
- fann_create_from_file
- fann_create_shortcut_array
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- fann_get_activation_function
- fann_get_activation_steepness
- fann_get_bias_array
- fann_get_bit_fail_limit
- fann_get_bit_fail
- fann_get_cascade_activation_functions_count
- fann_get_cascade_activation_functions
- fann_get_cascade_activation_steepnesses_count
- fann_get_cascade_activation_steepnesses
- fann_get_cascade_candidate_change_fraction
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- fann_get_cascade_weight_multiplier
- fann_get_connection_array
- fann_get_connection_rate
- fann_get_errno
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- fann_get_rprop_delta_min
- fann_get_rprop_delta_zero
- fann_get_rprop_increase_factor
- fann_get_sarprop_step_error_shift
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- fann_get_sarprop_temperature
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- fann_set_rprop_increase_factor
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- fann_test
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- fann_train_on_data
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