Chapter

Advances in Neural Networks – ISNN 2009

Volume 5551 of the series Lecture Notes in Computer Science pp 272-278

A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation

  • Qingshan LiuAffiliated withSchool of Automation, Southeast University
  • , Jinde CaoAffiliated withDepartment of Mathematics, Southeast University
  • , Jinling LiangAffiliated withDepartment of Mathematics, Southeast University

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Abstract

In this paper, a discrete-time recurrent neural network with one neuron and global convergence is proposed for k-winners-take-all (kWTA) operation. Comparing with the existing kWTA networks, the proposed network has simpler structure with only one neuron. The global convergence of the network can be guaranteed for kWTA operation. Simulation results are provided to show that the outputs vector of the network is globally convergent to the solution of the kWTA operation.

Keywords

Discrete-time recurrent neural network Global convergence k-winners-take-all operation