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» On the Computational Power of Neural Nets
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IJFCS
2011
78views more  IJFCS 2011»
14 years 4 months ago
P Systems and Topology: Some Suggestions for Research
some studies linked the computational power of abstract computing systems based on multiset rewriting to Petri nets and the computation power of these nets to pology. In turn, the ...
Pierluigi Frisco, Hendrik Jan Hoogeboom
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
117
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NGC
2010
Springer
183views Communications» more  NGC 2010»
14 years 4 months ago
Brain-like Computing Based on Distributed Representations and Neurodynamics
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...
Ken Yamane, Masahiko Morita
UPP
2004
Springer
15 years 2 months ago
Bio-inspired Computing Paradigms (Natural Computing)
Abstract. This is just a glimpse to the fruitful and constant preoccupation of computer science to try to get inspired by biology, at various levels. Besides briefly discussing th...
Gheorghe Paun
AINA
2010
IEEE
14 years 8 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