Adding batch normalization and a uniform-firing regularizer to mini-batch training improves TSK fuzzy classification accuracy on 12 UCI datasets, though the combined gain over the regularizer alone is not statistically significant.
Implementation of evol utionary fuzzy systems,
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Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization
Adding batch normalization and a uniform-firing regularizer to mini-batch training improves TSK fuzzy classification accuracy on 12 UCI datasets, though the combined gain over the regularizer alone is not statistically significant.