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NN
2002
Springer
113views Neural Networks» more  NN 2002»
14 years 9 months ago
A dynamically coupled neural oscillator network for image segmentation
We propose a dynamically coupled neural oscillator network for image segmentation. Instead of pair-wise coupling, an ensemble of oscillators coupled in a local region is used for ...
Ke Chen 0001, DeLiang L. Wang
CDC
2009
IEEE
123views Control Systems» more  CDC 2009»
15 years 29 days ago
Dealing with stochastic reachability
Abstract— For stochastic hybrid systems, stochastic reachability is very little supported mainly because of complexity and difficulty of the associated mathematical problems. In...
Manuela L. Bujorianu
TNN
1998
111views more  TNN 1998»
14 years 9 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
15 years 2 months ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan
ICARCV
2008
IEEE
193views Robotics» more  ICARCV 2008»
15 years 4 months ago
Analysis of discrete and hybrid stochastic systems by nonlinear contraction theory
—We investigate the stability properties of discrete and hybrid stochastic nonlinear dynamical systems. More precisely, we extend the stochastic contraction theorems (which were ...
Quang-Cuong Pham