fann_cascadetrain_on_data

fann_cascadetrain_on_data

Trains on an entire dataset, for a period of time using the Cascade2 training algorithm

bool **fann_cascadetrain_on_data** resource $ann resource $data int $max_neurons int $neurons_between_reports float $desired_error

The cascade output change fraction is a number between 0 and 1 determining how large a fraction the value should change within 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. fann_get_MSE``fann_get_cascade_output_stagnation_epochs

This training uses the parameters set using the fann_set_cascade_..., but it also uses another training algorithm as it’s internal training algorithm. This algorithm can be set to either or by , and the parameters set for these training algorithms will also affect the cascade training. FANN_TRAIN_RPROP``FANN_TRAIN_QUICKPROP``fann_set_training_algorithm

ann``data``max_neuronsThe maximum number of neurons to be added to neural network.

neurons_between_reportsThe number of neurons between printing a status report. A value of zero means no reports should be printed.

desired_error The desired or , depending on which stop function is chosen by fann_get_MSE``fann_get_bit_fail``fann_set_train_stop_function

fann_train_on_data``fann_cascadetrain_on_file