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EOR
2008
106views more  EOR 2008»
15 years 2 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 12 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 8 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 5 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
15 years 3 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...