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Stability of Equilibrium Points in Cellular Neural Networks with Negative Slope Activation Function

机译:负斜率激活函数蜂窝神经网络平衡点的稳定性

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—In the paper, the region of the number of equilibrium points of every cell in cellular neural networks with negative slope activation function is considered by the relationship between parameters of cellular neural networks. Some sufficient conditions are obtained by using the relationship among connection weights. Three theorems and a corollary are gotten by our new methods. Depending on these sufficient conditions, inputs and outputs of a CNN, the regions of the values of parameters can be obtained. Some numerical simulations are presented to support the effectiveness of the theoretical analysis.
机译:在纸上,通过蜂窝神经网络参数与负斜率激活函数的蜂窝神经网络中每个细胞的平衡点的数量的区域。通过使用连接权重之间的关系获得一些充分的条件。我们的新方法得到了三个定理和推论。根据这些充足的条件,CNN的输入和输出,可以获得参数值的区域。提出了一些数值模拟以支持理论分析的有效性。

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