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Recent Developments on Time-delay Neural Networks

Call for Papers

For more than a decade, many researchers have paid attention to neural networks due to the fact that neural networks have been successfully applied in a variety of areas, such as signal processing, pattern recognition, and combinatorial optimization. In recent years, neural networks with time-delay have also been studied extensively because time-delays do occur in electronic implementation of analog neural networks due to the transmission of signal and the finite switching speed of amplifiers and may lead to the instability and poor performance of systems, and a great number of important and interesting results have been obtained on the analysis and synthesis of time-delay neural networks, including stability analysis, state estimation, passivity, and so forth.

The objective of this special issue is to present the recent developments on the theory and applications of neural networks with time-delay. All the submissions are expected to contain original ideas and novel approaches. Papers presenting newly emerging fields are especially welcome.

Potential topics include, but are not limited to:

  • Stability and state estimation
  • Performance analysis
  • Synchronization
  • Intelligent control
  • Memristor-based neural networks
  • Coupled neural networks
  • Multiagent systems
  • Modeling of neural networks
  • Real world applications

Authors can submit their manuscripts via the Manuscript Tracking System at

Manuscript DueFriday, 28 November 2014
First Round of ReviewsFriday, 20 February 2015
Publication DateFriday, 17 April 2015

Lead Guest Editor

Guest Editors

  • Yun Chen, Hangzhou Dianzi University, Hangzhou, China
  • Xusheng Lei, Beijing University of Aeronautics and Astronautics, Beijing, China
  • Kun Liu, KTH Royal Institute of Technology, Stockholm, Sweden
  • Hui Zhang, The Ohio State University, Columbus, USA