@inbook{af84d82cd9db4585a6e9d898eb8f6ab9,
title = "Competition aided with continuous-time nonlinear model",
abstract = "In this chapter, different from the model presented in Chap. 1, we present a continuous-time dynamic model, which is described by an ordinary differential equation and is able to produce the winner-take-all competition by taking advantage of selective positive-negative feedback. The global convergence is proven analytically and the convergence rate is also discussed. Simulations are conducted in the static competition and the dynamic competition scenarios. Both theoretical and numerical results validate the effectiveness of the dynamic equation in describing the nonlinear phenomena of winner-take-all competition.",
keywords = "Continuous-time system, Global stability, Recurrent neural networks, Selective positive-negative feedback, Winner-take-all competition",
author = "Shuai Li and Long Jin",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-981-10-4947-7_2",
language = "English",
series = "SpringerBriefs in Applied Sciences and Technology",
publisher = "Springer-Verlag",
number = "9789811049460",
pages = "13--23",
booktitle = "SpringerBriefs in Applied Sciences and Technology",
edition = "9789811049460",
}