DocumentCode
571697
Title
Convergence Time of Wang´s kWTA Network with Stochastic Output Nodes
Author
Ho, K.I.J. ; Wei-Bin Lee ; Siu-Chung Lau ; Sum, John
Author_Institution
Dept. of Comp. Sci. & Comm. Eng., Providence Univ., Sha-Lu, Taiwan
fYear
2012
fDate
26-28 June 2012
Firstpage
182
Lastpage
187
Abstract
Recently, an extended Wang´s kWTA network with stochastic output nodes has been studied. It is shown that this extended model converges asymptotically. In this paper, we further studies the convergence time of this model. The convergence time is defined as the time taken for the model to reach a finite region around the convergent. With this definition, an approximation of convergence time is derived and its viability is shown by simulation results.
Keywords
approximation theory; convergence of numerical methods; network theory (graphs); neural nets; Wang WTA network; asymptotic convergence time; convergence time approximation; extended model; stochastic output nodes; Biological neural networks; Convergence; Educational institutions; Fault tolerance; Hardware; Simulation; Stochastic processes; Convergence Analysis; Convergence Time; Dual Neural Networks; Stochastic Output Nodes; kWTA;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile, Ubiquitous, and Intelligent Computing (MUSIC), 2012 Third FTRA International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4673-1956-0
Type
conf
DOI
10.1109/MUSIC.2012.39
Filename
6305846
Link To Document