针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。
For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.
提出了用粗糙集理论构造模糊多层感知器的方法。
A method of constructing knowledge based fuzzy perceptron based on rough sets theory is proposed.
本文提出一种模糊核超球感知器（FKHP）学习方法，并介绍了一种基于FKHP这种学习方法的模糊分类模型。
This paper introduces a fuzzy classification model based on the proposed fuzzy kernel hyperball perceptron(FKHP) learning method.
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