The main aim of this work is to study a class of neutral type Fuzzy Cellular Neural Networks (FCNNs) with mixed delays and D operator. New criteria are established for the existence, uniqueness and global exponential stability of weighted pseudo almost automorphic solutions for the addressed model in Clifford algebra. Our approach is based on Banach's fixed point principle and differential inequality techniques. Finally, numerical example is given to demonstrate the effectiveness of the theoretical results.

中文翻译：

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Clifford代数中混合时滞和D算子的中性型模糊细胞神经网络的加权伪近自守解

这项工作的主要目的是研究一类具有混合延迟和 D 算子的中性型模糊细胞神经网络 (FCNN)。为 Clifford 代数中所寻址模型的加权伪几乎自守解的存在性、唯一性和全局指数稳定性建立了新标准。我们的方法基于 Banach 的不动点原理和微分不等式技术。最后,通过数值例子验证了理论结果的有效性。