甜食
发表于 2025-3-28 18:08:04
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评论者
发表于 2025-3-28 20:12:44
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maladorit
发表于 2025-3-29 02:39:33
Grienggrai Rajchakit,Praveen Agarwal,Sriraman RamaDiscusses recent research on the stability of various neural networks.Investigates stability problems for delayed dynamical systems.Contains significant mathematical proofs and results in the area
卧虎藏龙
发表于 2025-3-29 03:52:38
Robust Stability of Discrete-Time Stochastic Genetic Regulatory Networksmeasurement delays is investigated. We design a linear estimator in such a way that the absorption of messenger ribonucleic acid (mRNA) and protein can be approximated through the known measurement outputs.
Jocose
发表于 2025-3-29 10:45:53
978-981-16-6536-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
违抗
发表于 2025-3-29 14:59:44
Exponential Stability of Recurrent Neural Networks with Impulsive and Stochastic Effectsunder fractional segments or intervals in delays is investigated. The time delays in discrete terms are time varying in nature. Different from those in the existing literature, the discrete delay interval is separated into fractional segments, which guarantee the availability of the lower and upper
Glycogen
发表于 2025-3-29 17:32:24
Stability of Markovian Jumping Stochastic Impulsive Uncertain BAM Neural Networksxed time delays, and .-inverse holder activation functions. By employing the Lyapunov stability theory and the LMIs, we derive a new sufficient condition to ascertain the global exponential stability of the BAMNN models with time-varying delays and leakage delays. The key contribution of this study
生命
发表于 2025-3-29 19:55:34
Global Robust Exponential Stability of Stochastic Neutral-Type Neural Networks neural network (USNNN) models with mixed time-varying delays is presented. Both discrete and distributed time delays are considered, which means that the lower and upper bounds can be derived. Firstly, a control law for stabilized and stability of the USNNN models is formulated. Secondly, by employ
BOLT
发表于 2025-3-30 00:30:14
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