# fann_sys::fann_get_cascade_num_candidates
[−]
[src]

pub unsafe extern fn fann_get_cascade_num_candidates(ann: *const fann) -> c_uint

The number of candidates used during training (calculated by multiplying
`fann_get_cascade_activation_functions_count`

,
`fann_get_cascade_activation_steepnesses_count`

and
`fann_get_cascade_num_candidate_groups`

).

The actual candidates is defined by the `fann_get_cascade_activation_functions`

and
`fann_get_cascade_activation_steepnesses`

arrays. These arrays define the activation
functions and activation steepnesses used for the candidate neurons. If there are 2
activation functions in the activation function array and 3 steepnesses in the steepness
array, then there will be 2x3=6 different candidates which will be trained. These 6
different candidates can be copied into several candidate groups, where the only difference
between these groups is the initial weights. If the number of groups is set to 2, then the
number of candidate neurons will be 2x3x2=12. The number of candidate groups is defined by
`fann_set_cascade_num_candidate_groups`

.

The default number of candidates is 6x4x2 = 48

# See also

`fann_get_cascade_activation_functions`

, `fann_get_cascade_activation_functions_count`

,
`fann_get_cascade_activation_steepnesses`

, `fann_get_cascade_activation_steepnesses_count`

,
`fann_get_cascade_num_candidate_groups`

This function appears in FANN >= 2.0.0.