The theme of bifurcation for a class of fractional-order neural networks (FONNs) with unique delay has been incalculably elucidated. It exhibits that multiple delays are capable of increasing the complicacy of realistic FONNs, but this has been insufficiently probed into. This paper attempts to conduct a research on the stability and bifurcation for a FONN with two unequal delays. By intercalating one delay and taking remnant delay as a bifurcation parameter, the incongruent critical values of diverse delays-induced bifurcations are exactly gained. Eventually, confirmation experiments are offered to endorse the procured theory.

中文翻译：

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具有不等时滞的分数阶神经网络的分叉机械化

一类具有独特延迟的分数阶神经网络（FONN）的分叉主题已经不可估量。它表明多重延迟能够增加现实的FONN的复杂性，但是对此没有进行充分的研究。本文试图对具有两个不相等延迟的FONN的稳定性和分叉性进行研究。通过插入一个时延并将剩余时延作为分叉参数，可以准确地获得不同时延引起的分叉的不一致临界值。最终，提供了验证实验来认可所获得的理论。