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Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced content levelIntermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
126
Chapter 7
at this guess, and the function value preserved as the best so far. The
temperature (standard deviation of the random perturbation) is
initialized to the user's starting temperature, and the reduction factor
is computed.
At the start of each pass through the temperature loop, the
improved flag is set to zero. When all iterations at that temperature
are complete, the perturbation center for the next temperature will be
updated only if that flag was set to one due to improvement. Other-
wise,
the same center will be used again.
Each iteration at a given temperature starts by calling randO
for a random number. We then call srandO
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Publisher Resources

ISBN: 9780080514338