Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function

By Shuai Li, Sanfeng Chen, Bo Liu. Neural Processing Letters, 2012

353 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/76130994db16861cfe5c5a5dce1bfed08e5ed59d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shifei Ding
2. Ru Nie
3. Yanan Zhang
4. Han Zhao
5. Xinzheng Xu

In Statistical and Nonlinear Physics

1. Shifei Ding

Citations in the corpus

• Extreme learning machine: algorithm, theory and applications (2013, background): “Then, Li et al. (2013) presented a simple model which produces the WTA competition by taking advantage of selective positive–negative feedback through the interaction of neurons via p-norm.”