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ESANN
2006
15 years 9 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
NPL
2000
138views more  NPL 2000»
15 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 ...
EOR
2011
140views more  EOR 2011»
14 years 11 months ago
Compact bidding languages and supplier selection for markets with economies of scale and scope
Combinatorial auctions have been used in procurement markets with economies of scope. Preference elicitation is already a problem in single-unit combinatorial auctions, but it bec...
Martin Bichler, Stefan Schneider, Kemal Guler, Meh...
TOG
2010
117views more  TOG 2010»
15 years 2 months ago
Multi-feature matching of fresco fragments
We present a multiple-feature approach for determining matches between small fragments of archaeological artifacts such as Bronze-Age and Roman frescoes. In contrast with traditio...
Corey Toler-Franklin, Benedict J. Brown, Tim Weyri...
VLSID
2002
IEEE
151views VLSI» more  VLSID 2002»
16 years 8 months ago
Mode Selection and Mode-Dependency Modeling for Power-Aware Embedded Systems
Among the many techniques for system-level power management, it is not currently possible to guarantee timing constraints and have a comprehensive system model at the same time. S...
Dexin Li, Pai H. Chou, Nader Bagherzadeh