Prediction spatio-temporal dynamics using Reservoir Computing
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evaluation
paper
src
readme.md

readme.md

Bachelor Thesis of Roland Zimmermann

This repository contains the entire source code, the numerical results, generated images and illustrations as well as the .tex documents used writing the bachlor's thesis, written by Roland Zimmermann at the Max-Planck-Institute for Dynamics and Self-Organization in the group of Prof. Dr. U. Parlitz and the Georg-August-Universität Göttingen. The thesis deals with the problems of prediction spatio-temporal (chaotic) dynamics using Reservoir Computing (Echo State Networks).

License

All content of this repository (with the exception of specially marked files) is created solely by Roland Zimmermann. The reuse of the code, ideas or passages of the text is allowed only if the work is correctly quoted and the original authorship is highlighted.

evaluation

This folder contains python scripts to generate the images which are presented in the final thesis.

paper

This folder contains the .tex code of the internship report and the final thesis. Futhermore, the subfolder src contains the commented and documented python source code which has been used writing the thesis.

src

This folder contains all the source code which has been written writing the thesis. Many functions and scripts were not used in the end due to bad performance or other problems. This files are not entirely commented. Therefore, one should rather read the code written in paper/src. This folder here can just be used as a archive of different methods of the ESN framework.