Search Results for author: Yutaka Yamaguti

Found 2 papers, 1 papers with code

Evaluating generation of chaotic time series by convolutional generative adversarial networks

1 code implementation26 May 2023 Yuki Tanaka, Yutaka Yamaguti

To understand the ability and limitations of convolutional neural networks to generate time series that mimic complex temporal signals, we trained a generative adversarial network consisting of deep convolutional networks to generate chaotic time series and used nonlinear time series analysis to evaluate the generated time series.

Generative Adversarial Network Time Series +1

Functional differentiations in evolutionary reservoir computing networks

no code implementations20 Jun 2020 Yutaka Yamaguti, Ichiro Tsuda

The reservoir computer is developed to enable changing of the internal reservoir using evolutionary dynamics, and we call it an evolutionary reservoir computer.

Specificity

Cannot find the paper you are looking for? You can Submit a new open access paper.