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CORR
2010
Springer
65views Education» more  CORR 2010»
13 years 7 months ago
Efficient Computation of Optimal Trading Strategies
Given the return series for a set of instruments, a trading strategy is a switching function that transfers wealth from one instrument to another at specified times. We present ef...
Victor Boyarshinov, Malik Magdon-Ismail
ICANN
2009
Springer
14 years 9 hour ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
TROB
2010
96views more  TROB 2010»
13 years 5 months ago
Stochastic Modular Robotic Systems: A Study of Fluidic Assembly Strategies
Abstract—Modular robotic systems typically assemble using deterministic processes where modules are directly placed into their target position. By contrast, stochastic modular ro...
Michael Thomas Tolley, Michael Kalontarov, Jonas N...
CORR
2011
Springer
127views Education» more  CORR 2011»
13 years 2 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...
GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
14 years 18 days ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon