The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control | Zendy

Zhang Qunli | Zendy

Open Access

The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control

Author(s) -

Zhang Qunli

Publication year - 2011

Publication title -

advances in artificial neural systems

Language(s) - English

Resource type - Journals

eISSN - 1687-7608

pISSN - 1687-7594

DOI - 10.1155/2011/249136

Subject(s) - artificial neural network , synchronization (alternating current) , computer science , constant (computer programming) , nonlinear system , class (philosophy) , operator (biology) , control theory (sociology) , control (management) , artificial intelligence , telecommunications , channel (broadcasting) , biochemistry , physics , chemistry , repressor , quantum mechanics , transcription factor , gene , programming language

A novel and effective approach to synchronization analysis of neural networks isinvestigated by using the nonlinear operator named the generalized Dahlquist constant and the generalintermittent control. The proposed approach offers a design procedure for synchronization of a largeclass of neural networks. The numerical simulations whose theoretical results are applied to typical neuralnetworks with and without delayed item demonstrate the effectiveness and feasibility of the proposedtechnique

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research