论文标题
高阶类型的分数BAM神经网络系统的稳定性和同步
Stability and synchronization of a fractional BAM neural network system of high-order type
论文作者
论文摘要
在本文中，研究了高阶类型和中性延迟的Caputo分数BAM神经网络系统的稳定性和同步。分数演算，拉普拉斯变换和分析技术的性能的混合物用于得出两类激活函数的Mittag-Leffler稳定性和同步。 HALANAY不平等的分数版本用于处理系统的分数特征以及一些合适的评估和处理以应对高阶功能。另一个特征是处理无界激活功能。验证理论结果的明确示例在最后显示。
In this paper, stability and synchronization of a Caputo fractional BAM neural network system of high-order type and neutral delays are examined. A mixture of properties of fractional calculus, Laplace transform, and analytical techniques is used to derive Mittag-Leffler stability and synchronization for two classes of activation functions. A fractional version of Halanay inequality is utilized to deal with the fractional character of the system and some suitable evaluations and handling to cope with the higher order feature. Another feature is the treatment of unbounded activation functions. Explicit examples to validate the theoretical outcomes are shown at the end.
