云南大学数学与统计学院;
在时标上，使用不动点定理以及微分不等式技巧，得到确保一类具分布时滞的Clifford值BAM神经网络的加权伪概周期解存在并且全局指数稳定的充分条件，这些充分条件是新的，是现有结论的补充与进一步完善。同时发现，如果神经网络满足一定的条件，可以通过调控外部输入函数，使神经网络必存在唯一的概周期解、伪概周期解，与加权伪概周期解，而且这些解函数还具有时标上的全局指数稳定性。最后，给出一个实例解释所得结论的有效性。
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基本信息:
DOI：
中图分类号:TP183
引用信息:
[1]赵莉莉.时标上一类具分布时滞的Clifford值BAM神经网络的加权伪概周期解的存在性与全局指数稳定性[J].山东师范大学学报(自然科学版),2025,40(01):36-51.
基金信息:
云南省教育厅自然科学基金资助项目(2020J0020); 云南大学教育教学改革研究资助项目(2023Y22)