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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++
138
Chapter 8
Initialization
-
Randomly generate a population.
Evaluation - Test each individual, using the objective function.
Compute a fitness value, which is a measure of how well the
individual optimizes the function.
Parent selection
-
Choose pairs of individuals from the population in
such a way that those with higher fitness will be chosen more
often.
Reproduction - Generate (usually two) children from each pair of
parents. Each parent contributes half of its genetic makeup to
each child.
Mutation
-
Randomly change a tiny amount of the genetic information
in each child.
A complete pass through the above steps is a generation. After
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Publisher Resources

ISBN: 9780080514338