Contributions to Books:
A. Svozil, K. Svozil:
"Induction and Physical Theory Formation As Well As Universal Computation by Machine Learning";
in: "Swarm Intelligence",
A. Schumann (ed.);
CRC Press, Taylor & Francis Group,
Boca Raton, FL,
2021,
170
- 180.
English abstract:
Machine learning presents a general, systematic framework for the generation of formal theoretical models for physical description and prediction. Tentatively standard linear modeling techniques are reviewed; followed by a brief discussion of generalizations to deep forward networks for approximating nonlinear phenomena and universal computers.
German abstract:
Maschinelles Lernen stellt einen allgemeinen, systematischen Rahmen für die Erzeugung formaler theoretischer Modelle zur physikalischen Beschreibung und Vorhersage dar. Es werden lineare Standardmodellierungstechniken besprochen, gefolgt von einer kurzen Diskussion der Verallgemeinerungen auf tiefe Vorwärtsnetzwerke zur Approximation nichtlinearer Phänomene und universeller Computer.
Keywords:
Deep learning, machine learning, physical modelling
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1201/9780429028618
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_296017.pdf
Created from the Publication Database of the Vienna University of Technology.