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本文提出一种训练标准ＢＰ网络的方法，该方法能以模糊判定规则的形成立即解释连接权值。该方法可以用来从一组例子中生成全新的分类规则，同样也能用来简化已有的规则库
In this paper, a method of training a standard BP network is proposed, which can immediately interpret the connection weights with the formation of fuzzy decision rules. This method can be used to generate entirely new classification rules from a set of examples and can also be used to simplify existing rule bases