fann_init_weights
(PECL fann >= 1.0.0)
fann_init_weights — Initialize the weights using Widrow + Nguyen’s algorithm
Description
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.
Parameters
ann-
Neural network resource.
train_data-
Neural network training data resource.
Return Values
Returns true on success, or false otherwise.
fann_get_training_algorithm
Fann Functions