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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
book

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

by Earl Cox
February 2005
Beginner to intermediate
540 pages
14h 9m
English
Morgan Kaufmann
Content preview from Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
8.7 Technical Implementation
323
Breed
new
population
Fuzzy set configuration initiator
Fuzzy
model
Goodness
of fit
Continue?
CIX trend
generator
Assessment
Outcome
Trend
analysis
expert system
1.0
0 x
μ(x)
CIXCIX
Trend
rules
Data
history
Execution periods
1
0
Slope
Rule 5
Rule 3
Rule 1
Rule 4
Rule 2
3
Genetic
optimizer
1
4
2
Stop
Figure 8.37 Genetically tuning the rule fuzzy sets.
Each new fuzzy model in the current population of models is
executed against the validation data.
1
The standard error of estimate for the new model is used by
the genetic algorithm as its goodness of fit. The GA attempts
to minimize this standard error.
If we have found a minimal and stable standard error, ...
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Publisher Resources

ISBN: 9780080470597