Trains on an entire dataset for a period of time

# fann_train_on_data

(PECL fann >= 1.0.0)

fann_train_on_data — Trains on an entire dataset for a period of time

### 説明

fann_train_on_data ( resource `$ann` , resource `$data` , int `$max_epochs` , int `$epochs_between_reports` , float `$desired_error` ) : bool

Trains on an entire dataset for a period of time.

This training uses the training algorithm chosen by fann_set_training_algorithm() and the parameters set for these training algorithms.

### パラメータ

`ann`

  ニューラルネットワークリソース。

`data`

  ニューラルネットワークトレーニングリソース。

`max_epochs`

  The maximum number of epochs the training should continue

`epochs_between_reports`

  The number of epochs between calling a callback function. A value of zero means that user function is not called.

`desired_error`

  The desired fann_get_MSE() or fann_get_bit_fail(), depending on the stop function chosen by fann_set_train_stop_function()

### 返り値

成功した場合に `TRUE`、それ以外の場合に `FALSE` を返します。

### 参考

- fann_train_on_file() - Trains on an entire dataset, which is read from file, for a period of time
- fann_train_epoch() - Train one epoch with a set of training data
- fann_get_bit_fail() - The number of fail bits
- fann_get_MSE() - Reads the mean square error from the network
- fann_set_train_stop_function() - Sets the stop function used during training
- fann_set_training_algorithm() - Sets the training algorithm
- fann_set_callback() - Sets the callback function for use during training