The Complete SPRLIB & ANNLIB

scawi_ffnet

- initialize a feedforward neural net using the SCAWI method

SYNOPSIS

int scawi_ffnet (net, dset)

ARGUMENTS

NET *net The network to be initialized.
DATASET *dset The dataset to be used for initialization.

RETURNS

The function returns TRUE if an error was detected, if no error was detected the function returns FALSE and the network is initialized.

FUNCTION

The Statistically Controlled Activation Weight Initialization (SCAWI) is a neural network initialization method introduced by Drago and Ridella. This method can be used to initialize a feedforward network in such a way that it training performance is boosted.

NOTE

The dataset must be an IOSET (see DATASET-flags) and the network an FFNET (see NET-flags). A detailed description of the SCAWI method can be found in IEEE Transactions on Neural Networks, Vol. 3, No 4., July 1992.

SEE ALSO

scawi_check

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