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Extensive downstream image recognition evaluations at a few-shot setting have also been conducted to demonstrate that the proposed method can effectively boost the performance of imbalanced learning.This paper illuminates the issue of bifurcations for a fractional-order bidirectional associative memory neural network(FOBAMNN) with four different delays. On account of the affirmatory presumption, the developed FOBAMNN is firstly transformed into the one with two nonidentical delays. Then the critical values of Hopf bifurcations with respect