具M-P型非线性双阈值二元神经网络的渐近行为

Asymptotic Behaviors of Solutions of Two Thresholds Neural Networks with McCulloch-Pitts Nonlinearity

研究一类具双阈值常数时滞二元神经网络模型,系统分析了不同阈值情形解的渐近行为.特别对临界阈值情形,建立了一些新的充要条件.

This paper studied asymptotic behaviors of solutions of two thresholds neural networks with McCulloch-Pitts nonlinearity. We analyzed systematically the asymptotic behaviors of solutions in the different thresholds cases. In particular, some new necessary and sufficient conditions were established in the critical case.