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模糊形态学双向联想记忆网络的性质

, PP. 54-62

Keywords: 模糊形态双向联想记忆网络(FMBAM),学习算法,稳定性,收敛性,鲁棒性

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Abstract:

为模糊形态学双向联想记忆网络(FMBAM)提出一个学习算法。在理论上证明只要存在使给定的模式对集合成为FMBAM的平衡态集合,则该学习算法总能计算出相应的最大连接权矩阵对。该最大连接权矩阵对能使FMBAM对任意输入在一步内就进入平衡态,并且神经网络全局收敛到平衡态。FMBAM的每个平衡态都是Lyapunov稳定的。当训练模式存在摄动时,利用该学习算法训练的FMBAM,对训练模式摄动拥有好的鲁棒性。

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