This paper mainly focuses on global region stability and stabilization analysis for recurrent neural networks with certain or uncertain parameter disturbances. Firstly, it presents global region stability results for recurrent neural networks with certain parameter disturbances by state partition and mathematical analysis methods. Next, it designs one adaptive controller to stabilize network states to the desired region for recurrent neural networks with uncertain parameter disturbances. At last, it gives two numerical examples for verifying obtained results.

中文翻译：

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带有参数扰动的递归神经网络的区域稳定性和稳定性

本文主要针对具有特定或不确定参数干扰的递归神经网络的全局区域稳定性和稳定性分析。首先，通过状态划分和数学分析方法，给出了具有一定参数扰动的递归神经网络的全局区域稳定性结果。接下来，它设计了一个自适应控制器，用于将网络状态稳定在具有不确定参数扰动的递归神经网络所需的区域。最后，给出了两个数值例子来验证所获得的结果。