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COMPLEXITY
2008
84views more  COMPLEXITY 2008»
15 years 3 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
CSC
2006
15 years 4 months ago
An Adaptive Method for Flow Simulation in Three-Dimensional Heterogeneous Discrete Fracture Networks
Natural fractured media are highly unpredictable because of existing complex structures at the fracture and at the network levels. Fractures are by themselves heterogeneous objects...
Hussein Mustapha

Publication
273views
14 years 1 months ago
 Beyond Graphs: A New Synthesis.
Artificial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. I...
Mattiussi, Claudio, Dürr, Peter, Marbach, Daniel ...
DSN
2005
IEEE
15 years 5 months ago
A Spatial Fluid-Based Framework to Analyze Large-Scale Wireless Sensor Networks
The behavior of large-scale wireless sensor networks has been shown to be surprisingly complex and difficult to analyze, both by empirical experiment and simulation. In this pape...
Marco Gribaudo, Carla-Fabiana Chiasserini, Rossano...
AINA
2010
IEEE
15 years 2 months ago
Compensation of Sensors Nonlinearity with Neural Networks
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Nicholas J. Cotton, Bogdan M. Wilamowski