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» Computing with Time: From Neural Networks to Sensor Networks
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AINA
2010
IEEE
13 years 4 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
ASC
2007
13 years 5 months ago
Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
Abhinav Saxena, Ashraf Saad
NIPS
2004
13 years 7 months ago
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid
Computation without stable states is a computing paradigm different from Turing's and has been demonstrated for various types of simulated neural networks. This publication t...
Felix Schürmann, Karlheinz Meier, Johannes Sc...
DCOSS
2008
Springer
13 years 7 months ago
Time Synchronization in Heterogeneous Sensor Networks
Heterogeneous sensor networks consisting of resource-constrained nodes as well as resource-intensive nodes equipped with high-bandwidth sensors offer significant advantages for dev...
Isaac Amundson, Branislav Kusy, Péter V&oum...
ICANN
2007
Springer
13 years 11 months ago
The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition
Benjamin Schrauwen, Jeroen Defour, David Verstraet...