fann_init_weights
(PECL fann >= 1.0.0)
fann_init_weights — Initialize the weights using Widrow + Nguyen’s algorithm
説明
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。
戻り値
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
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