スポーツベットアイオーで「競馬」に賭ける方法や特徴を詳しく ...

Researchers & Faculty Japanese TOP page > Yoshitaka Ito （Last updated : 2023-11-19 15:44:33） Yoshitaka Ito Department / Course Hokkaido University of Science Faculty of Engineering Department of Electrical and Electronic Engineering Job Associate Professor Achievement Academic background Present specialized field Belonging society Book and thesis Academic conference presentation Academic background 2019/03/18Degree Acquisition   2011/03Degree 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） Copyright © エデュース大学 --> COPYRIGHT (C) 北海道科学大学　ALL RIGHTS RESERVED. -->