Your browser doesn't support javascript.
loading
The Synchronization Analysis of Cohen-Grossberg Stochastic Neural Networks with Inertial Terms.
Li, Zhi-Ying; Jiang, Wang-Dong; Zhang, Yue-Hong.
Affiliation
  • Li ZY; Yuanpei College of Shaoxing University, Shaoxing, Zhejiang, China.
  • Jiang WD; Yuanpei College of Shaoxing University, Shaoxing, Zhejiang, China.
  • Zhang YH; Yuanpei College of Shaoxing University, Shaoxing, Zhejiang, China.
Comput Intell Neurosci ; 2022: 2377664, 2022.
Article in En | MEDLINE | ID: mdl-35665274
ABSTRACT
The exponential synchronization (ES) of Cohen-Grossberg stochastic neural networks with inertial terms (CGSNNIs) is studied in this paper. It is investigated in two ways. The first way is using variable substitution to transform the system to another one and then based on the properties of i t ^ o integral, differential operator, and the second Lyapunov method to get a sufficient condition of ES. The second way is based on the second-order differential equation, the properties of calculus are used to get a sufficient condition of ES. At last, results of the theoretical derivation are verified by virtue of two numerical simulation examples.
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Neural Networks, Computer Type of study: Prognostic_studies Language: En Journal: Comput Intell Neurosci Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2022 Document type: Article Affiliation country: China
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Neural Networks, Computer Type of study: Prognostic_studies Language: En Journal: Comput Intell Neurosci Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2022 Document type: Article Affiliation country: China