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Full Discussion: Vbseo removal
Top Forums Web Development Vbseo removal Post 302882242 by Neo on Sunday 5th of January 2014 01:04:37 PM
Old 01-05-2014
The problem is that a busy site that was well established and popular had a lot of their links on other sites which pointed back to their web site. These were normally "good SEO" links (speaking in a pure white-hat SEO way), and if those links were "friendly URLs" created by vBSEO, then everyone of those links will have to be 301'ed back to the original forum format.

This is bad for SEO. There is no way around it... If your backlinks need to be 301'ed to get them to work; you will lose PR status with Google and SEO will suffer.

If you are willing to take this SEO hit and have all your vBSEO backlinks 301'ed back to your original forum format, then that's up to you; but many would deem that approach, in the long term, unwise.

Elrond: So this is your purpose, to enter the mountain?
Thorin Oakenshield: What of it?
Elrond: There are some who would not deem it wise.
 
FANN_GET_CASCADE_CANDIDATE_CHANGE_FRACTION(3)				 1			     FANN_GET_CASCADE_CANDIDATE_CHANGE_FRACTION(3)

fann_get_cascade_candidate_change_fraction - Returns the cascade candidate change fraction

SYNOPSIS
float fann_get_cascade_candidate_change_fraction (resource $ann) DESCRIPTION
The cascade candidate change fraction is a number between 0 and 1 determining how large a fraction the fann_get_MSE(3) value should change within fann_get_cascade_candidate_stagnation_epochs(3) during training of the candidate neurons, in order for the training not to stagnate. If the training stagnates, the training of the candidate neurons will be ended and the best candidate will be selected. It means that if the MSE does not change by a fraction of fann_get_cascade_candidate_change_fraction(3) during a period of fann_get_cas- cade_candidate_stagnation_epochs(3), the training of the candidate neurons is stopped because the training has stagnated. If the cascade candidate change fraction is low, the candidate neurons will be trained more and if the fraction is high they will be trained less. The default cascade candidate change fraction is 0.01, which is equalent to a 1% change in MSE. PARAMETERS
o $ann -Neural network resource. RETURN VALUES
The cascade candidate change fraction, or FALSE on error. SEE ALSO
fann_set_cascade_candidate_change_fraction(3), fann_get_MSE(3), fann_get_cascade_candidate_stagnation_epochs(3). PHP Documentation Group FANN_GET_CASCADE_CANDIDATE_CHANGE_FRACTION(3)
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