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

被引：0

作者：

Liu, Qingshan ^{[1
]}

Cao, Jinde ^{[2
]}

Liang, Jinling ^{[2
]}

机构：

[1] Southeast Univ, Sch Automat, Nanjing 210096, Peoples R China

[2] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS | 2009年 / 5551卷

关键词：

Discrete-time recurrent neural network; Global convergence; k-winners-take-all operation; O(N) COMPLEXITY; COMPUTATION; CIRCUITS; KWTA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：272 / +

页数：2