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NPL
2000
138views more  NPL 2000»
13 years 7 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
IJON
2011
90views more  IJON 2011»
12 years 11 months ago
Fault tolerant machine learning for nanoscale cognitive radio
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
SIGGRAPH
2010
ACM
13 years 12 months ago
Interactive hair rendering under environment lighting
We present an algorithm for interactive hair rendering with both single and multiple scattering effects under complex environment lighting. The outgoing radiance due to single sca...
Zhong Ren, Kun Zhou, Tengfei Li, Wei Hua, Baining ...
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
12 years 11 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
ESANN
2006
13 years 8 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...