most citedFrom Sigmoid Power Control Algorithm to Hopfield-like Neural Networks: "SIR" ("Signal"-to-"Interference"-Ratio)-Balancing Sigmoid-Based Networks- Part I: Continuous Time

2 citations · 4 across the 5 of their papers we have counts for

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5 papers

physics.data-an2009★ 2 cited

On the SIRs (Signal-to-Interference-Ratio) in Discrete-Time Autonomous Linear Networks

Zekeriya Uykan

In this letter, we improve the results in [5] by relaxing the symmetry assumption and also taking the noise term into account. The author examines two discrete-time autonomous line…

physics.data-an2009

Analysis of "SIR" ("Signal"-to-"Interference"-Ratio) in Discrete-Time Autonomous Linear Networks with Symmetric Weight Matrices

Zekeriya Uykan

It's well-known that in a traditional discrete-time autonomous linear systems, the eigenvalues of the weigth (system) matrix solely determine the stability of the system. If the sp…

physics.data-an2009

From Sigmoid Power Control Algorithm to Hopfield-like Neural Networks: "SIR"-Balancing Sigmoid-Based Networks- Part II: Discrete Time

Zekeriya Uykan

In the first part in [12], we present and analyse a Sigmoid-based "Signal-to-Interference Ratio, (SIR)" balancing dynamic network, called Sgm"SIR"NN, which exhibits similar propert…

physics.data-an2009★ 2 cited

From Sigmoid Power Control Algorithm to Hopfield-like Neural Networks: "SIR" ("Signal"-to-"Interference"-Ratio)-Balancing Sigmoid-Based Networks- Part I: Continuous Time

Zekeriya Uykan

Continuous-time Hopfield network has been an important focus of research area since 1980s whose applications vary from image restoration to combinatorial optimization from control…

physics.data-an2009

Ultimate "SIR" in Autonomous Linear Networks with Symmetric Weight Matrices, and Its Use to Stabilize the Network - A Hopfield-like network

Zekeriya Uykan

In this paper, we present and analyse two Hopfield-like nonlinear networks, in continuous-time and discrete-time respectively. The proposed network is based on an autonomous linear…