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Update on (ISC)2 Erroneous Exam Notifications

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Old 11-25-2010
Update on (ISC)2 Erroneous Exam Notifications
24 November, 2010 - 4:30 pm

As we head into a long holiday weekend in the US, I want to let you know that we continue our outreach to candidates affected by the erroneous exam results notices. Please know that while our corporate office will be closed on Thanksgiving Day, Customer Service Advisors in our US office will be available to assist you Friday and through the weekend, from 8 a.m. to 4 p.m. Nov. 26-28. Of course, normal business hours will resume on Monday, Nov. 29. Our London and Hong Kong offices will have standard business hours, 8 a.m. to 5 p.m., Monday through Friday. Don't hesitate to contact us if there's anything we can do to assist you.

For more information, see http://blog.isc2.org/isc2_blog/exam-results.html

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LEARN ABOUT PHP

fann_get_cascade_num_candidates

FANN_GET_CASCADE_NUM_CANDIDATES(3)					 1					FANN_GET_CASCADE_NUM_CANDIDATES(3)

fann_get_cascade_num_candidates - Returns the number of candidates used during training

SYNOPSIS

       int fann_get_cascade_num_candidates (resource  $ann)

DESCRIPTION

	The  number  of  candidates  used during training (calculated by multiplying fann_get_cascade_activation_functions_count(3), fann_get_cas-
       cade_activation_steepnesses_count(3) and fann_get_cascade_num_candidate_groups(3)).

	The actual candidates is defined by the fann_get_cascade_activation_functions(3)  and  fann_get_cascade_activation_steepnesses(3)  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(3).

	The default number of candidates is 6x4x2 = 48

PARAMETERS

	      o $ann
		-Neural network resource.

RETURN VALUES

	The number of candidates used during training, or FALSE on error.

SEE ALSO

       fann_get_cascade_activation_functions(3),    fann_get_cascade_activation_functions_count(3),    fann_get_cascade_activation_steepnesses(3),
       fann_get_cascade_activation_steepnesses_count(3), fann_get_cascade_num_candidate_groups(3).

PHP Documentation Group 											FANN_GET_CASCADE_NUM_CANDIDATES(3)