Schedule
09.00-11.00: Introduction Nonlinear Dynamics and Chaos Theory. Evaluation of Chaotic Systems and Timeseries Forecasting based on Nonlinear Dynamics
11.00-13.00: Introduction to Timeseries Forecasting utilizing Neural Networks and Reservoir Computing
The workshop is aimed at undergraduate and postgraduate students interested in the use of ΑΙ, based on nonlinear dynamics, for time series forecasting, with well-known applications in finance, science, and engineering.
Due to a limited number of positions, interested participants are encouraged to register via the Registration tab and confirm their registration via conference email: chaos.symposium@gmail.com .
The cost of attendance is 50€ (early bird till April 30th) 60€ at the desk. All the attendees will have free access to all the Conference sessions as well as coffee breaks and lunches.
At the end of the workshop the attendees will receive a Certificate of Attendance.
Contents
09.00-11.00 Contents:
• Chaos Theory an Introduction
• Correlation dimension – Embedding dimension
• False Nearest Neighbors
• Phase space Reconstruction
• Lyapunov exponent
• Hurst exponent
• Time series prediction with KNN method
• Software -Examples - Practice
11.00-13.00 Contents:
• Stationarity
• Autocorrelation function
• Neural Networks an Introduction
• Backpropagation
• Deep Learning
• Reservoir computing an Introduction
• Software – Examples – Practice
Requirements
The workshop is aimed at undergraduate and postgraduate students interested in the use of ΑΙ, based on nonlinear dynamics, for time series forecasting, with well-known applications in finance, science, and engineering.