Zheng-Meng
Zheng-Meng Zhai, Ph.D. student at Arizona State University, zhaizhengmeng@gmail.com
Arizona State University
Pinned Repositories
AMOC
Codes for ''Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation''. The main idea is to use reservoir computing to predict the AMOC evolution in short term.
Parameter-Tracking-with-Machine-Learning
Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.
Reservoir-Computing-and-Hyperparameter-Optimization
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
Tracking-Control
Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
zhengmengzhai.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Zheng-Meng's Repositories
Zheng-Meng/Tracking-Control
Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
Zheng-Meng/Reservoir-Computing-and-Hyperparameter-Optimization
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
Zheng-Meng/Parameter-Tracking-with-Machine-Learning
Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.
Zheng-Meng/AMOC
Codes for ''Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation''. The main idea is to use reservoir computing to predict the AMOC evolution in short term.
Zheng-Meng/zhengmengzhai.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes