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» An Energy Backpropagation Algorithm
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HAIS
2009
Springer
15 years 2 months ago
A Thermodynamical Model Study for an Energy Saving Algorithm
A local Spanish company that produces electric heaters needs an energy saving device to be integrated with the heaters. It was proven that a hybrid artificial intelligent systems (...
Enrique A. de la Cal, José Ramón Vil...
CPHYSICS
2008
64views more  CPHYSICS 2008»
14 years 9 months ago
Multibondic cluster algorithm for finite-size scaling studies of critical phenomena
For finite-size scaling studies of second-order phase transitions the critical energy range of interest is usually larger than the energy range covered by a canonical Monte Carlo ...
Bernd A. Berg, Wolfhard Janke
EAAI
2007
117views more  EAAI 2007»
14 years 9 months ago
Design and implementation of NN5 for Hong Kong stock price forecasting
A number of published techniques have emerged in the trading community for stock prediction tasks. Among them is neural network (NN). In this paper, the theoretical background of ...
Philip M. Tsang, Paul Kwok, Steven O. Choy, Reggie...
77
Voted
ML
2006
ACM
110views Machine Learning» more  ML 2006»
14 years 9 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
CEC
2005
IEEE
15 years 3 months ago
A genetic algorithm for energy minimization in bio-molecular systems
Energy minimization algorithms for bio-molecular systems are critical to applications such as the prediction of protein folding. Conventional energy minimization methods such as th...
Xiaochun Weng, Lutz Hamel, Lenore M. Martin, Joan ...