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Stability of Almost Periodic Solution for BAM Neural Networks with Delays

机译:延迟BAM神经网络几乎定期解决的稳定性

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This paper presents a sufficient condition for the global asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with variable coefficients. The results impose constraint conditions on the network parameters of neural system independently of variable coefficients, and they are applicable to all bounded continuous non-monotonic neuron activation functions.
机译:本文呈现了具有可变系数的双向关联存储器(BAM)神经网络的平衡点的全局渐近稳定性的充分条件。 结果施加对神经系统网络参数的约束条件,独立于可变系数,它们适用于所有有界连续的非单调神经元激活功能。

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