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Lotka-Volterra Recurrent Neural Networks with Delays

  • Zhang Yi
  • K. K. Tan
Part of the Network Theory and Applications book series (NETA, volume 13)

Abstract

The Lotka-Volterra model of RNNs was first proposed in [62]. Derived from conventional membrane dynamics of competing neurons, it has found successful applications in winner-take-all, winner-share-all and k-winner-take-all problems, see [15, 16, 62]. Due to the application potential of this class of neural networks, it is necessary and useful to study its general dynamic properties.

Keywords

Equilibrium Point Convergence Analysis Recurrent Neural Network Positive Equilibrium Exponential Convergence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2004

Authors and Affiliations

  • Zhang Yi
    • 1
  • K. K. Tan
    • 2
  1. 1.School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China
  2. 2.Department of Electrical and Computer EngineeringThe National University of SingaporeSingapore

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