Results 31 to 40 of about 6,866,416 (377)

Turing patterns mediated by network topology in homogeneous active systems. [PDF]

open access: yesPhysical Review E, 2019
Mechanisms of pattern formation-of which the Turing instability is an archetype-constitute an important class of dynamical processes occurring in biological, ecological, and chemical systems.
Sayat Mimar   +4 more
semanticscholar   +1 more source

Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks. [PDF]

open access: yesPLoS ONE, 2015
This paper presents improvements to the conventional Topology Representing Network to build more appropriate topology relationships. Based on this improved Topology Representing Network, we propose a novel method for online dimensionality reduction that ...
Shengqiao Ni   +3 more
doaj   +1 more source

Active Topology Inference using Network Coding [PDF]

open access: yes, 1998
Our goal is to infer the topology of a network when (i) we can send probes between sources and receivers at the edge of the network and (ii) intermediate nodes can perform simple network coding operations, i.e., additions.
Buchbinder, E.I.   +3 more
core   +3 more sources

Superpositional Quantum Network Topologies [PDF]

open access: yesInternational Journal of Theoretical Physics, 2004
We introduce superposition-based quantum networks composed of (i) the classical perceptron model of multilayered, feedforward neural networks and (ii) the algebraic model of evolving reticular quantum structures as described in quantum gravity. The main feature of this model is moving from particular neural topologies to a quantum metastructure which ...
Jarosław Pykacz   +2 more
openaire   +4 more sources

Noise-Induced Network Topologies

open access: yesPhysical Review Letters, 2023
We analyze transport on a graph with multiple constraints and where the weight of the edges connecting the nodes is a dynamical variable. The network dynamics results from the interplay between a nonlinear function of the flow, dissipation, and Gaussian, additive noise.
Frederic Folz   +2 more
openaire   +3 more sources

State-Space Network Topology Identification From Partial Observations [PDF]

open access: yesIEEE Transactions on Signal and Information Processing over Networks, 2019
In this article, we explore the state-space formulation of a network process to recover from partial observations the network topology that drives its dynamics.
M. Coutiño   +3 more
semanticscholar   +1 more source

Fingerprint for Network Topologies [PDF]

open access: yes, 2009
12papes, 3 figures, in ...
Shi Zhou, Changjia Chen, Yuchun Guo
openaire   +4 more sources

On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms

open access: yes, 2011
We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities.
F. X. Diebold, K. Yilmaz
semanticscholar   +1 more source

A hierarchical network model for network topology design using genetic algorithm

open access: yesMATEC Web of Conferences, 2017
Network topology design has directly impact on network construction costs and network performance. Majority of current network topology design take the network physical topology parameters into consideration, such as the reliability and cost constraints,
Wang Chunlin   +4 more
doaj   +1 more source

Optimal network topology for responsive collective behavior [PDF]

open access: yesScience Advances, 2018
Collectives must tune their interaction network to adapt and respond to external perturbations at different time scales. Animals, humans, and multi-robot systems operate in dynamic environments, where the ability to respond to changing circumstances is ...
David Mateo   +4 more
semanticscholar   +1 more source

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