Initialize the weights using Widrow + Nguyen’s algorithm

# fann_init_weights

(PECL fann >= 1.0.0)

fann_init_weights — Initialize the weights using Widrow + Nguyen’s algorithm

### 説明

fann_init_weights ( resource `$ann` , resource `$train_data` ) : bool

Initialize the weights using Widrow + Nguyen’s algorithm.

This function behaves similarly to fann_randomize_weights(). It will use the algorithm developed by Derrick Nguyen and Bernard Widrow to set the weights in such a way as to speed up training. This technique is not always successful, and in some cases can be less efficient than a purely random initialization.

The algorithm requires access to the range of the input data (for example largest and smallest input), and therefore accepts a second argument, data, which is the training data that will be used to train the network.

### パラメータ

`ann`

  ニューラルネットワークリソース。

`train_data`

  ニューラルネットワークトレーニングリソース。

### 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_randomize_weights() - Give each connection a random weight between min_weight and max_weight
- fann_read_train_from_file() - Reads a file that stores training data