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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Continuous-Time Model of Analogue K-Winners-Take-All Neural Circuit
verfasst von : Pavlo V. Tymoshchuk
Erschienen in: Engineering Applications of Neural Networks
Verlag: Springer Berlin Heidelberg
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A continuous-time model of analogue K-winners-take-all (KWTA) neural circuit which is capable to extraction the K largest from any finite value N unknown distinct inputs, where 1 ≤ K < N, is presented. The model is described by one state equation with discontinuous right-hand side and output equation. A corresponding functional block diagram of the model is given as N feedforward and one feedback hardlimiting neurons, which is used to determine the dynamic shift of inputs. The model combines such properties as high accuracy and convergence speed, low computational and hardware implementation complexity, and independency on initial conditions. Simulation examples demonstrating the model performance are provided.