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Last update: February 19, 2014
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Absolute Hits with RRSE 2 Fitness Function
The Absolute Hits with RRSE 2 fitness function
is based on the
absolute error and the
Root Relative Squared Error (RRSE).
The RRSE 2 component is implemented so that you can choose different
simple models besides the usual target average.
Moreover, the RRSE 2 differs from the common RRSE in the evaluation of the denominator term,
where instead of using the target output to calculate the difference between
the target and the simple model, the model output is used instead, resulting in a more dynamic,
forever adapting solution space.
The Absolute Hits with RRSE 2 fitness function is combined with different rewards and punishments, both of which are adjustable parameters.
See Also:
Related Tutorials:
Related Videos:
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