fann_init_weights

PECL fann >= 1.0.0
fann_init_weights - Initialize the weights using Widrow + Nguyen’s algorithm
Manual

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.

Parameters

ann

Neural network resource.

train_data

Neural network training data resource.

Return Values

Returns true on success, or false otherwise.

Related Functions

Function fann_init_weights:

  • Manual

FANN (Fast Artificial Neural Network) Functions

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