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利用Mittag-Leffler函数的相关性质和积分变换方法,研究了分数阶Hopfield神经网络(FHNN)的稳定性,给出了相应的充分性条件,并通过实例仿真验证了结论的正确性.
The stability of fractional Hopfield neural networks (FHNN) is studied by using the pertinent properties of the Mittag-Leffler function and the integral transform method. The corresponding sufficient conditions are given. The correctness of the conclusion is verified by an example simulation.