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训练模式对的摄动对折线模糊神经网络稳定性的影响

, PP. 928-936

Keywords: 折线模糊数,折线模糊神经网络,训练模式对,全局稳定性,摄动

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Abstract:

引入折线模糊数及其扩张运算,针对折线模糊神经网络,定义折线模糊数的最大摄动误差、训练模式对的γ摄动等概念,并基于纠错规则设计该网络连接权的学习算法。其次,当转移函数满足Lipschitz条件和训练模式对发生γ摄动时,在定义折线模糊神经网络对训练模式对摄动的全局稳定性的基础上,应用归纳法证明三层折线模糊神经网络的连接权具有稳定性,进而获得该网络关于训练模式对的γ摄动也具有全局稳定性。最后,通过模拟实例说明训练模式对的摄动对该网络稳定性的影响。

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