Researchers & Faculty
Japanese
Yoshitaka Ito
Department / Course
Hokkaido University of Science Faculty of Engineering Department of Electrical and Electronic Engineering
Job
Associate Professor
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)
2018/09
Reconstructing Bifurcation Diagrams of the Duffing Equations (2018 International Symposium on Nonlinear Theory and its Applications)
2017/12
Reconstruction of Bifurcation Diagrams using Time-series Data Generated by Electronic Circuits of the Rossler Equations (2017 International Symposium on Nonlinear Theory and its Applications)
2017/10
Reconstructing Bifurcation Diagrams of Induction Motor Drives using an Extreme Learning Machine (The 8th International Conference on Extreme Learning Machines)
2017/05
Reconstruction of Bifurcation Diagrams Using an Extreme Learning Machine with a Pruning Algorithm (2017 International Joint Conference on Neural Networks)
2015/12
Reconstruction of Bifurcation Diagrams with Lyapunov Exponents for Chaotic Systems from only Time-series Data (2015 International Symposium on Nonlinear Theory and its Applications)
2011/02
Reconstruction of Bifurcation Diagrams from Time Series Data Using Echo-State Networks (2011 3rd International Conference on Machine Learning and Computing)
2010/08
Chaotic time series prediction by combing echo-state networks and radial basis function networks (2010 IEEE International Workshop on Machine Learning for Signal Processing)