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