区间2型模糊神经网络的快速学习方法

D. Olczyk, Urszula Markowska-Kaczmar
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引用次数: 0

摘要

针对快速学习区间2型模糊神经网络的分类问题,提出了模糊集参数估计算法。类是不相交的。学习包括估计每条规则中模糊集参数的合适值。估计是基于训练数据的统计属性。实验研究证实,该方法比反向传播方法快几十倍,分类效果相当。
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Fast learning method of interval type-2 fuzzy neural networks
The Fuzzy Set Parameter Estimation algorithm is proposed for fast learning interval type-2 fuzzy neural networks applied for classification problems. Classes are disjoint. Learning consists of estimating appropriate values of fuzzy set parameters in every rule. Estimation is based on statistical properties of the training data. The experimental study confirms that it is dozens times quicker than the backpropagation method, while the classification effectiveness is comparable.
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