LGSep 28, 2024
Explicit construction of recurrent neural networks effectively approximating discrete dynamical systemsChikara Nakayama, Tsuyoshi Yoneda
We consider arbitrary bounded discrete time series originating from dynamical system with recursivity. More precisely, we provide an explicit construction of recurrent neural networks which effectively approximate the corresponding discrete dynamical systems.
LGSep 30, 2023
Universality of almost periodic orbits in certain composite functionsChikara Nakayama, Tsuyoshi Yoneda
We consider composite functions in the elementary algebraic framework. Without any use of the Fourier transform, we find almost periodic orbits which suitably characterizes certain composite functions. In particular, we provide special composite functions that tend asymptotically to almost periodic orbits.