Lotka-Volterra Recurrent Neural Networks with Delays

Part of the Network Theory and Applications book series (NETA, volume 13)


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.


Equilibrium Point Convergence Analysis Recurrent Neural Network Positive Equilibrium Exponential Convergence 
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Copyright information

© Springer Science+Business Media Dordrecht 2004

Authors and Affiliations

  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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