FANN_TRAIN_EPOCH(3) 1 FANN_TRAIN_EPOCH(3)fann_train_epoch - Train one epoch with a set of training dataSYNOPSIS
float fann_train_epoch (resource $ann, resource $data)
DESCRIPTION
Train one epoch with the training data stored in data. One epoch is where all of the training data is considered exactly once.
This function returns the MSE error as it is calculated either before or during the actual training. This is not the actual MSE after the
training epoch, but since calculating this will require to go through the entire training set once more. It is more than adequate to use
this value during training.
The training algorithm used by this function is chosen by fann_set_training_algorithm(3) function.
PARAMETERS
o $ann
-Neural network resource.
o $data
-Neural network training data resource.
RETURN VALUES
The MSE, or FALSE on error.
SEE ALSO fann_train_on_data(3), fann_test_data(3), fann_get_MSE(3), fann_set_training_algorithm(3).
PHP Documentation Group FANN_TRAIN_EPOCH(3)
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FANN_CASCADETRAIN_ON_DATA(3) 1 FANN_CASCADETRAIN_ON_DATA(3)fann_cascadetrain_on_data - Trains on an entire dataset, for a period of time using the Cascade2 training algorithmSYNOPSIS
bool fann_cascadetrain_on_data (resource $ann, resource $data, int $max_neurons, int $neurons_between_reports, float $desired_error)
DESCRIPTION
The cascade output change fraction is a number between 0 and 1 determining how large a fraction the fann_get_MSE(3) value should change
within fann_get_cascade_output_stagnation_epochs(3) during training of the output connections, in order for the training not to stagnate.
If the training stagnates, the training of the output connections will be ended and new candidates will be prepared.
This training uses the parameters set using the fann_set_cascade_..., but it also uses another training algorithm as it's internal train-
ing algorithm. This algorithm can be set to either FANN_TRAIN_RPROP or FANN_TRAIN_QUICKPROP by fann_set_training_algorithm(3), and the
parameters set for these training algorithms will also affect the cascade training.
PARAMETERS
o $ann
-Neural network resource.
o $data
-Neural network training data resource.
o $max_neurons
- The maximum number of neurons to be added to neural network.
o $neurons_between_reports
- The number of neurons between printing a status report. A value of zero means no reports should be printed.
o $desired_error
- The desired fann_get_MSE(3) or fann_get_bit_fail(3), depending on which stop function is chosen by fann_set_train_stop_func-
tion(3)RETURN VALUES
Returns TRUE on success, or FALSE otherwise.
SEE ALSO fann_train_on_data(3), fann_cascadetrain_on_file(3).
PHP Documentation Group FANN_CASCADETRAIN_ON_DATA(3)
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