  Since April 2011, realtime fringe tracking data are recorded simultaneously
with data from the VLTI/AMBER interferometric beam combiner. Not only this
offers possibilities to post-process AMBER reduced data to obtain more accurate
interferometric quantities, it also allows to estimate the performance of the
fringe tracking a function of the conditions of seeing, coherence time, flux,
etc. First we propose to define fringe tracking performance metrics in the
AMBER context, in particular as a function of AMBER's integration time. The
main idea is to determine the optimal exposure time for AMBER: short exposures
are dominated by readout noise and fringes in long exposures are completely
smeared out. Then we present this performance metrics correlated with Paranal
local ASM (Ambient Site Monitor) measurements, such as seeing, coherence time
or wind speed for example. Finally, we also present some preliminary results of
attempts to model and predict fringe tracking performances, using Artificial
Neural Networks.
