The Complete SPRLIB & ANNLIB

pn_init: - initialise and set up a network for training with the pseudo-Newton backpropagation learning rule

SYNOPSIS

int pn_init

(net, tf, dtf, ddtf, c1, c2, c3)

ARGUMENTS

`NET`	*`net`**	A pointer to a multilayer feedforward `NET`.
`double`	*`(tf)()`**	Pointer to transfer function.
`double`	*`(dtf)()`**	Pointer to derivative of transfer function.
`double`	*`(ddtf)()`**	Pointer to second derivative of transfer function.
`double`	`c1`	Optional parameter 1 to the transfer function.
`double`	`c2`	Optional parameter 2 to the transfer function.
`double`	`c3`	Optional parameter 3 to the transfer function.

RETURNS

TRUE if an error was detected, FALSE if no error was detected.

NOTE

After some initial checking, space is allocated for storing information through the SystemData field of the weights and biases. See PN_STRUCT.

The Complete SPRLIB & ANNLIB

`pn_init`

- initialise and set up a network for training with the pseudo-Newton backpropagation learning rule

SYNOPSIS

ARGUMENTS

RETURNS

NOTE

SEE ALSO