A Neuro-fuzzy Classifier Based on Fuzzy Perceptron Model
一种基于模糊感知器的模糊神经分类器

For a neuro_fuzzy classifier, it's unreasonable to partition the fuzzy sets of the same number for the different input features. In order to address this issue, fuzzy density is used here to partition the input feature reasonably. Iris data sets are used to illustrate the effectiveness of the proposed scheme.