Evolving Neural and Fuzzy Systems - Computational Intelligence in Time Series Forecasting - page 309

compact and transparent. In order to improve the model transparency, and also the
accuracy, antecedent (Gaussian) fuzzy sets were consequently merged (as
described in Chapter 7) and thereafter real-coded genetic algorithms were applied.
Finally, the evolved fuzzy model of Panchariya et al. (2003, 2004) was also, in this
case, applied for nonlinear plant modeling and reported to have much better
accuracy than that reported by contemporary literature on the same benchmark
problem.

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