fann_train_epoch(3) [php man page]

FANN_TRAIN_EPOCH(3)							 1						       FANN_TRAIN_EPOCH(3)

fann_train_epoch - Train one epoch with a set of training data

SYNOPSIS

       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)

FANN_GET_CASCADE_OUTPUT_CHANGE_FRACTION(3)				 1				FANN_GET_CASCADE_OUTPUT_CHANGE_FRACTION(3)

fann_get_cascade_output_change_fraction - Returns the cascade output change fraction

SYNOPSIS

       float fann_get_cascade_output_change_fraction (resource	$ann)

DESCRIPTION

	The cascade output change fraction is a number between 0 and 1 determining how large a fraction of 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.

	It  means  that  if  the  MSE does not change by a fraction of fann_get_cascade_output_change_fraction(3) during a period of fann_get_cas-
       cade_output_stagnation_epochs(3), the training of the output connections is stopped because the training has stagnated.

	If the cascade output change fraction is low, the output connections will be trained more and if  the  fraction  is  high,  they  will	be
       trained less.

	The default cascade output change fraction is 0.01, which is equalent to a 1% change in MSE.

PARAMETERS

	      o $ann
		-Neural network resource.

RETURN VALUES

	The cascade output change fraction, or FALSE on error.

SEE ALSO

       fann_set_cascade_output_change_fraction(3), fann_get_MSE(3), fann_get_cascade_output_stagnation_epochs(3).

PHP Documentation Group 										FANN_GET_CASCADE_OUTPUT_CHANGE_FRACTION(3)