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fann_cascadetrain_on_data(PECL fann >= 1.0.0) fann_cascadetrain_on_data — Trains on an entire dataset, for a period of time using the Cascade2 training algorithm 説明
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 fann_get_MSE() value should change within fann_get_cascade_output_stagnation_epochs() 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 training algorithm. This algorithm can be set to either パラメータ
返り値成功した場合に 参考
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