[1P] Late-Breaking Abstracts

[1P-463] Fixed-point-guided minimal piecewise linear representations of dynamical systems via almost-linear recurrent neural networks

*Hiroto Tamura^1,2, Kazuyuki Aihara², Gouhei Tanaka^3,2 (1. Grad. Sch. Informatics, Osaka Metropolitan Univ., Japan, 2. IRCN, Univ. of Tokyo, Japan, 3. Grad. Sch. Eng., Nagoya Inst. of Technology, Japan)

Keywords:

Recurrent neural networks,Dynamical system reconstruction,Piecewise linear dynamics,Symbolic dynamics

Password required to view

A password is required to view the abstracts.
The password can be found on your name badge (participation certificate).