FDIMLP: A new neuro-fuzzy model
Guido Bologna · 2002
We present a neuro-fuzzy model called fuzzy discretized interpretable multi-layer perceptron (FDIMLP). Fuzzy rules are extracted in polynomial time with respect to the size of the problem and the size of the network. We applied our model to three classification problems of the public domain. It turned out that FDIMLP networks compared favorably with respect to EFuNN and ANFIS neuro-fuzzy systems.