Gradient-free optimization of artificial and biological networks using learning to learn
- Alternative title
-
Gradient-freies Optimieren von künstlichen und biologischen Netzwerken mittels des learning to learn Verfahrens
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
RWTH Aachen University, Dissertation, 2023
- Keyword
-
Neuronales Netz
Maschinelles Lernen
Künstliche Intelligenz
Deep Learning
Soft Computing
Ameisenalgorithmus
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2023
- Creator
- Contributor
- URN
-
urn:nbn:de:hbz:5:2-1257933
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yegenoglu, Alper
- Morrison, Abigail Joanna Rhodes
- Herty, Michael
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2023
Other Objects (12)
Mathematics of traffic flow networks : modeling, simulation and optimization
A Macro-kinetic Hybrid Model for Traffic Flow on Road Networks
Boundary Feedback Control for Hyperbolic Systems
A macro-kinetic hybrid model for traffic flow on road networks
Data-driven models for traffic flow at junctions
On the relation between approaches for boundary feedback control of hyperbolic systems
Comparison of approaches for boundary feedback control of hyperbolic systems
On the relation between approaches for boundary feedback control of hyperbolic systems
Turnpike properties of optimal boundary control problems with random linear hyperbolic systems
An Asymptotic-Preserving Scheme for Isentropic Flow in Pipe Networks
Robust Feedback Stabilization of Interacting Multi-agent Systems Under Uncertainty
Reduced basis methods applied to obstacle problems and parametrized distributed optimal control problems with control and state constraints
Mathematics of traffic flow networks : modeling, simulation and optimization
A Macro-kinetic Hybrid Model for Traffic Flow on Road Networks
Boundary Feedback Control for Hyperbolic Systems
A macro-kinetic hybrid model for traffic flow on road networks
Data-driven models for traffic flow at junctions
On the relation between approaches for boundary feedback control of hyperbolic systems
Comparison of approaches for boundary feedback control of hyperbolic systems
On the relation between approaches for boundary feedback control of hyperbolic systems
Turnpike properties of optimal boundary control problems with random linear hyperbolic systems
An Asymptotic-Preserving Scheme for Isentropic Flow in Pipe Networks
Robust Feedback Stabilization of Interacting Multi-agent Systems Under Uncertainty
Reduced basis methods applied to obstacle problems and parametrized distributed optimal control problems with control and state constraints
Mathematics of traffic flow networks : modeling, simulation and optimization
A Macro-kinetic Hybrid Model for Traffic Flow on Road Networks
Boundary Feedback Control for Hyperbolic Systems
A macro-kinetic hybrid model for traffic flow on road networks
Data-driven models for traffic flow at junctions
On the relation between approaches for boundary feedback control of hyperbolic systems
Comparison of approaches for boundary feedback control of hyperbolic systems
On the relation between approaches for boundary feedback control of hyperbolic systems
Turnpike properties of optimal boundary control problems with random linear hyperbolic systems
An Asymptotic-Preserving Scheme for Isentropic Flow in Pipe Networks
Robust Feedback Stabilization of Interacting Multi-agent Systems Under Uncertainty