Application of sparse identification of nonlinear dynamics for physics-informed learning

Advances in machine learning and deep neural networks have enabled complex engineering tasks like image recognition, anomaly detection, regression, and multi-objective optimization, to name but a few. The complexity of the algorithm architecture, e.g., the number of hidden layers in a deep neural ne...

Celý popis

Podrobná bibliografia

Vydané v:	2020 IEEE Aerospace Conference s. 1 - 8
Hlavný autor:	Corbetta, Matteo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.03.2020
Predmet:	Aerodynamics Bayes methods Heuristic algorithms Libraries Machine learning Machine learning algorithms Mathematical models Nonlinear dynamical systems System dynamics Trajectory
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!