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EOR
2008
106views more  EOR 2008»
14 years 9 months ago
Convergent Lagrangian heuristics for nonlinear minimum cost network flows
We consider the separable nonlinear and strictly convex single-commodity network flow problem (SSCNFP). We develop a computational scheme for generating a primal feasible solution...
Torbjörn Larsson, Johan Marklund, Caroline Ol...
TSD
2010
Springer
14 years 7 months ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
TNN
2010
115views Management» more  TNN 2010»
14 years 4 months ago
New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
This paper presents a new approach for identifying and validating the F/A-18 aeroservoelastic model, based on flight flutter tests. The neural network (NN), trained with five diffe...
N. Boely, R. M. Botez
ICASSP
2011
IEEE
14 years 1 months ago
Interference cancellation for OFDM systems with hierarchical modulation over non-linear satellite channels
This paper presents an efficient technique to eliminate the inter-layer interference (ILI) inherent in hierarchical modulation (HM) schemes operating over nonlinear satellite cha...
Emad Q. Al-Dalakta, Charalampos C. Tsimenidis, Bay...
ICANN
2010
Springer
14 years 11 months ago
Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots
Abstract. In this article we exploit the discrete-time dynamics of a single neuron with self-connection to systematically design simple signal filters. Due to hysteresis effects an...
Poramate Manoonpong, Frank Pasemann, Christoph Kol...