Researcher Database | Faculty of Engineering Department of Electrical and Electronic Engineering | Yoshitaka Ito |

（Last updated : 2023-11-19 15:44:33）

Visruth.jpg not found

Yoshitaka Ito

Department / Course Hokkaido University of Science Faculty of Engineering Department of Electrical and Electronic Engineering

Job Associate Professor

Academic background
2019/03/18 Degree Acquisition
2011/03 Degree Acquisition

Present specialized field
Others, Others

Belonging society
2022/08 ～	The Institute of Electrical Engineers of Japan

Book and thesis
Papers	A Method for Quantifying the Complexity of Graph Structure Obtained from Chaotic Time Series Data (Co-authored) 2023/09/26
Papers	Predicting a Critical Transition in a Five-Dimensional Ecosystem Using Parameter Space (Sole-authored) 2023/09/26
Papers	Predicting the parameter value at which a critical transition occurs from the Lyapunov exponents in an estimated parameter space Nonlinear Theory and Its Applications (Sole-authored) 2023/07/01
Papers	Verifying the robustness of using parameter space estimation with ridge regression to predict a critical transition Nonlinear Theory and Its Applications (Sole-authored) 2023/07/01
Papers	Detecting Unstable Sets in an Estimated Parameter Space for the Henon Map, Journal of Applied Nonlinear Dynamics Journal of Applied Nonlinear Dynamics (Sole-authored) 2023/04/01
Display All（11）

Academic conference presentation
2021/10/26	Modeling of Quantum Electron Transmission Process in Two-dimensional Nanowire System using Recurrent Neural Network, MNC2021, remote, 2021. (34th International Microprocesses and Nanotechnology Conference)
2021/03	Relationship between Success Rate of Bifurcation Diagrams Reconstruction and Synaptic Weight Vectors of Predictor (RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 2021)
2020/11	Reconstructing bifurcation diagrams of all components in Rossler equations only from time-series data sets (2020 International Symposium on Nonlinear Theory and its Applications)
2020/03	Effects of Omitting Pruning Procedure on Extreme Learning Machine for Bifurcation Diagrams (RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 2020)
2018/11	Reconstructing Bifurcation Diagrams of a Chaotic Neuron Model Using an Extremely Learning Machine (The 9th International Conference on Extreme Learning Machines)
Display All（12）