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» Evolving Multilayer Perceptrons
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CEC
2009
IEEE
14 years 2 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
HIS
2008
13 years 9 months ago
Clonal Selection-Based Neural Classifier
Artificial Immune Systems (AIS) constitute an emerging and promising field, and have been applied to pattern recognition and classification tasks to a limited extent so far. This ...
Aris Lanaridis, Vasileios Karakasis, Andreas Stafy...
FLAIRS
2004
13 years 9 months ago
Hidden Layer Training via Hessian Matrix Information
The output weight optimization-hidden weight optimization (OWO-HWO) algorithm for training the multilayer perceptron alternately updates the output weights and the hidden weights....
Changhua Yu, Michael T. Manry, Jiang Li
ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
14 years 1 months ago
Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks
This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
SBRN
2002
IEEE
14 years 12 days ago
Neural Connect 4 - A Connectionist Approach to the Game
This article presents the system “Neural Connect 4”, a program that plays the game Connect Four. This system employs the multilayer perceptron architecture which is learning t...
Marvin Oliver Schneider, João Luís G...