February 2005
Beginner to intermediate
540 pages
14h 9m
English
Content preview from Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
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Chapter 11 Genetic Tuning of Fuzzy Models
Figure 11.18 The standard error (performance) trace.
configuration can be missed. This means that the amount of variability
in the genome drives the average standard error close to a single value
too quickly over a small number of generations. Figure 11.19 shows an
example of this situation.
In Figure 11.19, the standard error of estimate began at a larger value
(the “luck of the draw” in a GA, presumably a fuzzy system configura-
tion with fewer fuzzy sets than required for a higher degree of precision).
In a small number of generations, the average fitness drops quickly to
roughly 4.5, and remains steady
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