Jun 18, 2005 · Here, we discuss strategies for the development of autonomous adaptation and learning algorithms for dynamical networks that are driven by ...
Here, we discuss strategies for the development of autonomous adaptation and learning algorithms for dynamical networks that are driven by entropy related ...
Strategies for the development of autonomous adaptation and learning algorithms for dynamical networks that are driven by entropy related information ...
Dive into the research topics of 'Strategies for autonomous adaptation and learning in dynamical networks'. Together they form a unique fingerprint. Learning ...
Mar 2, 2023 · In this article, we provide an interdisciplinary perspective on adaptive systems. We reflect on the notion and terminology of adaptivity in different ...
This paper introduces an autonomous systems strategy that combines two biological inspirations: neural networks and gentic algorithms (GAs).
Missing: Adaptation | Show results with:Adaptation
Fully connected RTRL neural networks have been investigated in this paper. The main contribution concerns the dynamic adaptation of the learning rate and time.
Mar 24, 2024 · This study explores the dynamics of neural activity during a center-out reaching task with continuous visual feedback under the influence of rotational ...
Missing: Autonomous | Show results with:Autonomous
Aug 23, 2023 · This project advances the learning strategies based on reinforcement learning and adaptive dynamic programming, and study their applications to power and ...
Feb 14, 2024 · Self-adaptation equips a software system with a feedback loop that maintains a set of runtime models, including models of the system, its ...