A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation - researchr publication related

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Qingshan Liu, Jun Wang. A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007. pages 84-89, IEEE, 2007. [doi]

The following publications are possibly variants of this publication:

A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path RoutingQingshan Liu, Jun Wang. icann 2010: 498-505 [doi]

A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic ProgrammingQingshan Liu, Jun Wang. tnn, 19(4):558-570, 2008. [doi]

A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operationQingshan Liu, Chuangyin Dang, Jinde Cao. tnn, 21(7):1140-1148, 2010. [doi]

A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All OperationQingshan Liu, Jinde Cao, Jinling Liang. isnn 2009: 272-278 [doi]

Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective FunctionsQingshan Liu, Jun Wang. tnn, 22(4):601-613, 2011. [doi]

A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear ProgrammingQingshan Liu, Jun Wang. neco, 20(5):1366-1383, 2008. [doi]

Two k-winners-take-all networks with discontinuous activation functionsQingshan Liu, Jun Wang. NN, 21(2-3):406-413, 2008. [doi]

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