T. Anderson and F. Elloumi (eds.). Theory and Practice of Online Learning. Athabasca University, Athabasca, Canada, 2004.
Summary. The aim of this paper is to present a method to model the dynamics of a distance interactive learning process, so that the navigation through a ...
The aim of this paper is to present a method to model the dynamics of a distance interactive learning process, so that the navigation through a course is ...
Giacomo Patrizi , Claudio Cifarelli, Laura Di Giacomo: Learning the Nonlinear Dynamics of Cyberlearning. E-Service Intelligence 2007: 253-272.
Dec 20, 2013 · We provide an analytical description of these phenomena by finding new exact solutions to the nonlinear dynamics of deep learning.
Missing: Cyberlearning. | Show results with:Cyberlearning.
In this paper we introduce a computational framework for learning Koopman operators of nonlinear dynamical systems using deep learning.
This paper deals with formation control problems for multi-agent systems with nonlinear dynamics and switching network topologies.
Nonlinear dynamics based digital logic and circuits - Frontiers
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Each neuron itself is a nonlinear dynamical system that illustrates a broad range of dynamics such as different types of bifurcation (Izhikevich, 2007).
Duration: 59:37
Posted: Aug 21, 2021
Posted: Aug 21, 2021
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Abstract—Feed-forward neural networks (FNNs) work as standard building blocks in applying artificial intelligence (AI) to the physical world.