Hybrid fuzzy controller designs that use pattern recognition and neural networks

J. Bezdek
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Abstract

The author shows one of many ways to build a hybrid model for fuzzy control that uses fuzzy clustering and CNNs as tools. Neither fuzzy control nor CNNs are well-aged, but they are mature enough to bear fruit. Hybrid models can and will have properties that their progenitors do not possess. Not all hybrids will be good, so many testing and evaluation will be necessary.
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采用模式识别和神经网络的混合模糊控制器设计
作者展示了使用模糊聚类和cnn作为工具构建模糊控制混合模型的许多方法之一。模糊控制和cnn都没有成熟,但它们已经成熟到足以结出果实。混合模型可以并且将具有其前身所不具备的属性。并不是所有的混合动力车都是好的,所以很多测试和评估是必要的。
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