fann_init_weights

(PECL fann >= 1.0.0)

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

Descripción

bool fann_init_weights ( resource $ann , resource $train_data )

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.

Parámetros

ann: resource de red neuronal.
train_data: resource de datos de entrenamiento de red neuronal.

Valores devueltos

Devuelve TRUE en caso de éxito, o FALSE de lo contrario.

Ver también

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